{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## End-to-end Machine Learning project\n",
    "\n",
    "Notebook adapted and inspired from: https://github.com/ageron/handson-ml2/blob/master/02_end_to_end_machine_learning_project.ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:100% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# some imports\n",
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:100% !important; }</style>\"))\n",
    "\n",
    "# Python ≥3.5 is required\n",
    "import sys\n",
    "assert sys.version_info >= (3, 5)\n",
    "\n",
    "# Scikit-Learn ≥0.20 is required\n",
    "import sklearn\n",
    "assert sklearn.__version__ >= \"0.20\"\n",
    "\n",
    "# Common imports\n",
    "import numpy as np\n",
    "import os\n",
    "\n",
    "# to make this notebook's output stable across runs\n",
    "np.random.seed(42)\n",
    "\n",
    "# To plot pretty figures\n",
    "%matplotlib inline\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "mpl.rc('axes', labelsize=14)\n",
    "mpl.rc('xtick', labelsize=12)\n",
    "mpl.rc('ytick', labelsize=12)\n",
    "plt.rc('font', size=12) \n",
    "plt.rc('figure', figsize = (12, 5))\n",
    "\n",
    "# Settings for the visualizations\n",
    "import seaborn as sns\n",
    "sns.set_style(\"whitegrid\")\n",
    "sns.set_context(\"notebook\", font_scale=1, rc={\"lines.linewidth\": 2,'font.family': [u'times']})\n",
    "\n",
    "import pandas as pd\n",
    "pd.set_option('display.max_rows', 25)\n",
    "pd.set_option('display.max_columns', 500)\n",
    "pd.set_option('display.max_colwidth', 50)\n",
    "\n",
    "# Ignore useless warnings (see SciPy issue #5998)\n",
    "import warnings\n",
    "warnings.filterwarnings(action=\"ignore\", message=\"^internal gelsd\")\n",
    "\n",
    "# create output folder\n",
    "if not os.path.exists('output'):\n",
    "    os.makedirs('output')\n",
    "if not os.path.exists('output/session1'):\n",
    "    os.makedirs('output/session1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# to make this notebook's output identical at every run\n",
    "np.random.seed(42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing = pd.read_csv('dataset/housing-snapshot/train_set.csv',index_col=0) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5432, 21)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Suburb</th>\n",
       "      <th>Address</th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Method</th>\n",
       "      <th>SellerG</th>\n",
       "      <th>Date</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>CouncilArea</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Regionname</th>\n",
       "      <th>Propertycount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aberfeldie</td>\n",
       "      <td>241 Buckley St</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>1380000.0</td>\n",
       "      <td>VB</td>\n",
       "      <td>Nelson</td>\n",
       "      <td>12/08/2017</td>\n",
       "      <td>7.5</td>\n",
       "      <td>3040.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>766.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Moonee Valley</td>\n",
       "      <td>-37.75595</td>\n",
       "      <td>144.90551</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>1543.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Northcote</td>\n",
       "      <td>67 Charles St</td>\n",
       "      <td>2</td>\n",
       "      <td>h</td>\n",
       "      <td>1100000.0</td>\n",
       "      <td>SP</td>\n",
       "      <td>Jellis</td>\n",
       "      <td>20/05/2017</td>\n",
       "      <td>5.5</td>\n",
       "      <td>3070.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Darebin</td>\n",
       "      <td>-37.77670</td>\n",
       "      <td>144.99240</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>11364.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Balwyn North</td>\n",
       "      <td>42 Maud St</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>1480000.0</td>\n",
       "      <td>PI</td>\n",
       "      <td>Jellis</td>\n",
       "      <td>15/10/2016</td>\n",
       "      <td>9.2</td>\n",
       "      <td>3104.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>605.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>1950.0</td>\n",
       "      <td>Boroondara</td>\n",
       "      <td>-37.79510</td>\n",
       "      <td>145.06960</td>\n",
       "      <td>Southern Metropolitan</td>\n",
       "      <td>7809.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Brunswick</td>\n",
       "      <td>13 Percy St</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>1055000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Nelson</td>\n",
       "      <td>7/05/2016</td>\n",
       "      <td>5.2</td>\n",
       "      <td>3056.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>324.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1930.0</td>\n",
       "      <td>Moreland</td>\n",
       "      <td>-37.76530</td>\n",
       "      <td>144.95860</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>11918.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Templestowe Lower</td>\n",
       "      <td>253 Thompsons Rd</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>1000000.0</td>\n",
       "      <td>VB</td>\n",
       "      <td>hockingstuart</td>\n",
       "      <td>13/08/2016</td>\n",
       "      <td>13.8</td>\n",
       "      <td>3107.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>728.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>Manningham</td>\n",
       "      <td>-37.76800</td>\n",
       "      <td>145.10270</td>\n",
       "      <td>Eastern Metropolitan</td>\n",
       "      <td>5420.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Coburg</td>\n",
       "      <td>4/34 Gladstone St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>650000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Barry</td>\n",
       "      <td>29/04/2017</td>\n",
       "      <td>7.8</td>\n",
       "      <td>3058.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>1975.0</td>\n",
       "      <td>Moreland</td>\n",
       "      <td>-37.74490</td>\n",
       "      <td>144.97540</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>11204.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Glen Iris</td>\n",
       "      <td>27 Pascoe St</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>1510000.0</td>\n",
       "      <td>PI</td>\n",
       "      <td>hockingstuart</td>\n",
       "      <td>10/09/2016</td>\n",
       "      <td>9.2</td>\n",
       "      <td>3146.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>370.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Boroondara</td>\n",
       "      <td>-37.85970</td>\n",
       "      <td>145.08830</td>\n",
       "      <td>Southern Metropolitan</td>\n",
       "      <td>10412.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Pascoe Vale</td>\n",
       "      <td>5/10 Dorset Rd</td>\n",
       "      <td>3</td>\n",
       "      <td>u</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Nelson</td>\n",
       "      <td>4/03/2017</td>\n",
       "      <td>9.9</td>\n",
       "      <td>3044.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>Moreland</td>\n",
       "      <td>-37.72340</td>\n",
       "      <td>144.94970</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>7485.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Preston</td>\n",
       "      <td>23 Dean St</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>1260000.0</td>\n",
       "      <td>SP</td>\n",
       "      <td>Nelson</td>\n",
       "      <td>14/05/2016</td>\n",
       "      <td>8.8</td>\n",
       "      <td>3072.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>654.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1950.0</td>\n",
       "      <td>Darebin</td>\n",
       "      <td>-37.73650</td>\n",
       "      <td>145.01730</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>14577.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Sunshine West</td>\n",
       "      <td>26 Bell St</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>645400.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Barry</td>\n",
       "      <td>7/11/2016</td>\n",
       "      <td>13.5</td>\n",
       "      <td>3020.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>765.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Brimbank</td>\n",
       "      <td>-37.78600</td>\n",
       "      <td>144.81500</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6763.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Suburb            Address  Rooms Type      Price Method  \\\n",
       "index                                                                       \n",
       "0             Aberfeldie     241 Buckley St      4    h  1380000.0     VB   \n",
       "1              Northcote      67 Charles St      2    h  1100000.0     SP   \n",
       "2           Balwyn North         42 Maud St      3    h  1480000.0     PI   \n",
       "3              Brunswick        13 Percy St      3    h  1055000.0      S   \n",
       "4      Templestowe Lower   253 Thompsons Rd      4    h  1000000.0     VB   \n",
       "5                 Coburg  4/34 Gladstone St      2    u   650000.0      S   \n",
       "6              Glen Iris       27 Pascoe St      3    h  1510000.0     PI   \n",
       "7            Pascoe Vale     5/10 Dorset Rd      3    u   600000.0      S   \n",
       "8                Preston         23 Dean St      4    h  1260000.0     SP   \n",
       "9          Sunshine West         26 Bell St      4    h   645400.0      S   \n",
       "\n",
       "             SellerG        Date  Distance  Postcode  Bedroom2  Bathroom  Car  \\\n",
       "index                                                                           \n",
       "0             Nelson  12/08/2017       7.5    3040.0       4.0       2.0  2.0   \n",
       "1             Jellis  20/05/2017       5.5    3070.0       2.0       1.0  1.0   \n",
       "2             Jellis  15/10/2016       9.2    3104.0       3.0       1.0  4.0   \n",
       "3             Nelson   7/05/2016       5.2    3056.0       3.0       1.0  1.0   \n",
       "4      hockingstuart  13/08/2016      13.8    3107.0       4.0       3.0  2.0   \n",
       "5              Barry  29/04/2017       7.8    3058.0       2.0       1.0  1.0   \n",
       "6      hockingstuart  10/09/2016       9.2    3146.0       3.0       2.0  2.0   \n",
       "7             Nelson   4/03/2017       9.9    3044.0       3.0       1.0  1.0   \n",
       "8             Nelson  14/05/2016       8.8    3072.0       4.0       3.0  2.0   \n",
       "9              Barry   7/11/2016      13.5    3020.0       4.0       2.0  3.0   \n",
       "\n",
       "       Landsize  BuildingArea  YearBuilt    CouncilArea  Lattitude  \\\n",
       "index                                                                \n",
       "0         766.0           NaN        NaN  Moonee Valley  -37.75595   \n",
       "1         189.0           NaN        NaN        Darebin  -37.77670   \n",
       "2         605.0         116.0     1950.0     Boroondara  -37.79510   \n",
       "3         324.0           NaN     1930.0       Moreland  -37.76530   \n",
       "4         728.0         164.0     1970.0     Manningham  -37.76800   \n",
       "5         136.0          81.0     1975.0       Moreland  -37.74490   \n",
       "6         370.0           NaN        NaN     Boroondara  -37.85970   \n",
       "7         204.0         124.0     2008.0       Moreland  -37.72340   \n",
       "8         654.0         150.0     1950.0        Darebin  -37.73650   \n",
       "9         765.0           NaN        NaN       Brimbank  -37.78600   \n",
       "\n",
       "       Longtitude             Regionname  Propertycount  \n",
       "index                                                    \n",
       "0       144.90551   Western Metropolitan         1543.0  \n",
       "1       144.99240  Northern Metropolitan        11364.0  \n",
       "2       145.06960  Southern Metropolitan         7809.0  \n",
       "3       144.95860  Northern Metropolitan        11918.0  \n",
       "4       145.10270   Eastern Metropolitan         5420.0  \n",
       "5       144.97540  Northern Metropolitan        11204.0  \n",
       "6       145.08830  Southern Metropolitan        10412.0  \n",
       "7       144.94970  Northern Metropolitan         7485.0  \n",
       "8       145.01730  Northern Metropolitan        14577.0  \n",
       "9       144.81500   Western Metropolitan         6763.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 5432 entries, 0 to 5431\n",
      "Data columns (total 21 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   Suburb         5432 non-null   object \n",
      " 1   Address        5432 non-null   object \n",
      " 2   Rooms          5432 non-null   int64  \n",
      " 3   Type           5432 non-null   object \n",
      " 4   Price          5432 non-null   float64\n",
      " 5   Method         5432 non-null   object \n",
      " 6   SellerG        5432 non-null   object \n",
      " 7   Date           5432 non-null   object \n",
      " 8   Distance       5432 non-null   float64\n",
      " 9   Postcode       5432 non-null   float64\n",
      " 10  Bedroom2       5432 non-null   float64\n",
      " 11  Bathroom       5432 non-null   float64\n",
      " 12  Car            5407 non-null   float64\n",
      " 13  Landsize       5432 non-null   float64\n",
      " 14  BuildingArea   2890 non-null   float64\n",
      " 15  YearBuilt      3302 non-null   float64\n",
      " 16  CouncilArea    4879 non-null   object \n",
      " 17  Lattitude      5432 non-null   float64\n",
      " 18  Longtitude     5432 non-null   float64\n",
      " 19  Regionname     5432 non-null   object \n",
      " 20  Propertycount  5432 non-null   float64\n",
      "dtypes: float64(12), int64(1), object(8)\n",
      "memory usage: 933.6+ KB\n"
     ]
    }
   ],
   "source": [
    "housing.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "h    3765\n",
       "u    1191\n",
       "t     476\n",
       "Name: Type, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing[\"Type\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Price</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Propertycount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5432.000000</td>\n",
       "      <td>5.432000e+03</td>\n",
       "      <td>5432.000000</td>\n",
       "      <td>5432.000000</td>\n",
       "      <td>5432.000000</td>\n",
       "      <td>5432.000000</td>\n",
       "      <td>5407.000000</td>\n",
       "      <td>5432.000000</td>\n",
       "      <td>2890.000000</td>\n",
       "      <td>3302.000000</td>\n",
       "      <td>5432.000000</td>\n",
       "      <td>5432.000000</td>\n",
       "      <td>5432.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.937224</td>\n",
       "      <td>1.078470e+06</td>\n",
       "      <td>10.220692</td>\n",
       "      <td>3106.552835</td>\n",
       "      <td>2.917342</td>\n",
       "      <td>1.538660</td>\n",
       "      <td>1.630109</td>\n",
       "      <td>537.054676</td>\n",
       "      <td>163.462430</td>\n",
       "      <td>1965.219564</td>\n",
       "      <td>-37.809664</td>\n",
       "      <td>144.995491</td>\n",
       "      <td>7438.537555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.951947</td>\n",
       "      <td>6.470654e+05</td>\n",
       "      <td>5.996967</td>\n",
       "      <td>95.185290</td>\n",
       "      <td>0.988414</td>\n",
       "      <td>0.704286</td>\n",
       "      <td>0.982855</td>\n",
       "      <td>1550.867601</td>\n",
       "      <td>843.189116</td>\n",
       "      <td>36.244398</td>\n",
       "      <td>0.079365</td>\n",
       "      <td>0.106382</td>\n",
       "      <td>4368.906756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.450000e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3000.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1830.000000</td>\n",
       "      <td>-38.174880</td>\n",
       "      <td>144.542370</td>\n",
       "      <td>389.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>6.500000e+05</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>3046.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>182.750000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>1940.000000</td>\n",
       "      <td>-37.856648</td>\n",
       "      <td>144.930800</td>\n",
       "      <td>4294.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>9.015000e+05</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>3084.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>125.000000</td>\n",
       "      <td>1970.000000</td>\n",
       "      <td>-37.802635</td>\n",
       "      <td>145.000250</td>\n",
       "      <td>6543.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.330000e+06</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>3148.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>654.250000</td>\n",
       "      <td>174.750000</td>\n",
       "      <td>1999.000000</td>\n",
       "      <td>-37.757238</td>\n",
       "      <td>145.059225</td>\n",
       "      <td>10331.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000e+06</td>\n",
       "      <td>48.100000</td>\n",
       "      <td>3977.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>75100.000000</td>\n",
       "      <td>44515.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>-37.408530</td>\n",
       "      <td>145.526350</td>\n",
       "      <td>21650.000000</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Rooms         Price     Distance     Postcode     Bedroom2  \\\n",
       "count  5432.000000  5.432000e+03  5432.000000  5432.000000  5432.000000   \n",
       "mean      2.937224  1.078470e+06    10.220692  3106.552835     2.917342   \n",
       "std       0.951947  6.470654e+05     5.996967    95.185290     0.988414   \n",
       "min       1.000000  1.450000e+05     0.000000  3000.000000     0.000000   \n",
       "25%       2.000000  6.500000e+05     6.200000  3046.000000     2.000000   \n",
       "50%       3.000000  9.015000e+05     9.200000  3084.000000     3.000000   \n",
       "75%       3.000000  1.330000e+06    13.000000  3148.000000     3.000000   \n",
       "max       8.000000  8.000000e+06    48.100000  3977.000000    20.000000   \n",
       "\n",
       "          Bathroom          Car      Landsize  BuildingArea    YearBuilt  \\\n",
       "count  5432.000000  5407.000000   5432.000000   2890.000000  3302.000000   \n",
       "mean      1.538660     1.630109    537.054676    163.462430  1965.219564   \n",
       "std       0.704286     0.982855   1550.867601    843.189116    36.244398   \n",
       "min       0.000000     0.000000      0.000000      0.000000  1830.000000   \n",
       "25%       1.000000     1.000000    182.750000     92.000000  1940.000000   \n",
       "50%       1.000000     2.000000    450.000000    125.000000  1970.000000   \n",
       "75%       2.000000     2.000000    654.250000    174.750000  1999.000000   \n",
       "max       8.000000    10.000000  75100.000000  44515.000000  2018.000000   \n",
       "\n",
       "         Lattitude   Longtitude  Propertycount  \n",
       "count  5432.000000  5432.000000    5432.000000  \n",
       "mean    -37.809664   144.995491    7438.537555  \n",
       "std       0.079365     0.106382    4368.906756  \n",
       "min     -38.174880   144.542370     389.000000  \n",
       "25%     -37.856648   144.930800    4294.000000  \n",
       "50%     -37.802635   145.000250    6543.000000  \n",
       "75%     -37.757238   145.059225   10331.000000  \n",
       "max     -37.408530   145.526350   21650.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Price</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Propertycount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5432.000000</td>\n",
       "      <td>5.432000e+03</td>\n",
       "      <td>5432.000000</td>\n",
       "      <td>5432.000000</td>\n",
       "      <td>5432.000000</td>\n",
       "      <td>5407.000000</td>\n",
       "      <td>5432.000000</td>\n",
       "      <td>2890.000000</td>\n",
       "      <td>3302.000000</td>\n",
       "      <td>5432.000000</td>\n",
       "      <td>5432.000000</td>\n",
       "      <td>5432.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.937224</td>\n",
       "      <td>1.078470e+06</td>\n",
       "      <td>10.220692</td>\n",
       "      <td>2.917342</td>\n",
       "      <td>1.538660</td>\n",
       "      <td>1.630109</td>\n",
       "      <td>537.054676</td>\n",
       "      <td>163.462430</td>\n",
       "      <td>1965.219564</td>\n",
       "      <td>-37.809664</td>\n",
       "      <td>144.995491</td>\n",
       "      <td>7438.537555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.951947</td>\n",
       "      <td>6.470654e+05</td>\n",
       "      <td>5.996967</td>\n",
       "      <td>0.988414</td>\n",
       "      <td>0.704286</td>\n",
       "      <td>0.982855</td>\n",
       "      <td>1550.867601</td>\n",
       "      <td>843.189116</td>\n",
       "      <td>36.244398</td>\n",
       "      <td>0.079365</td>\n",
       "      <td>0.106382</td>\n",
       "      <td>4368.906756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.450000e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1830.000000</td>\n",
       "      <td>-38.174880</td>\n",
       "      <td>144.542370</td>\n",
       "      <td>389.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>6.500000e+05</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>182.750000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>1940.000000</td>\n",
       "      <td>-37.856648</td>\n",
       "      <td>144.930800</td>\n",
       "      <td>4294.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>9.015000e+05</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>125.000000</td>\n",
       "      <td>1970.000000</td>\n",
       "      <td>-37.802635</td>\n",
       "      <td>145.000250</td>\n",
       "      <td>6543.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.330000e+06</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>654.250000</td>\n",
       "      <td>174.750000</td>\n",
       "      <td>1999.000000</td>\n",
       "      <td>-37.757238</td>\n",
       "      <td>145.059225</td>\n",
       "      <td>10331.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000e+06</td>\n",
       "      <td>48.100000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>75100.000000</td>\n",
       "      <td>44515.000000</td>\n",
       "      <td>2018.000000</td>\n",
       "      <td>-37.408530</td>\n",
       "      <td>145.526350</td>\n",
       "      <td>21650.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Rooms         Price     Distance     Bedroom2     Bathroom  \\\n",
       "count  5432.000000  5.432000e+03  5432.000000  5432.000000  5432.000000   \n",
       "mean      2.937224  1.078470e+06    10.220692     2.917342     1.538660   \n",
       "std       0.951947  6.470654e+05     5.996967     0.988414     0.704286   \n",
       "min       1.000000  1.450000e+05     0.000000     0.000000     0.000000   \n",
       "25%       2.000000  6.500000e+05     6.200000     2.000000     1.000000   \n",
       "50%       3.000000  9.015000e+05     9.200000     3.000000     1.000000   \n",
       "75%       3.000000  1.330000e+06    13.000000     3.000000     2.000000   \n",
       "max       8.000000  8.000000e+06    48.100000    20.000000     8.000000   \n",
       "\n",
       "               Car      Landsize  BuildingArea    YearBuilt    Lattitude  \\\n",
       "count  5407.000000   5432.000000   2890.000000  3302.000000  5432.000000   \n",
       "mean      1.630109    537.054676    163.462430  1965.219564   -37.809664   \n",
       "std       0.982855   1550.867601    843.189116    36.244398     0.079365   \n",
       "min       0.000000      0.000000      0.000000  1830.000000   -38.174880   \n",
       "25%       1.000000    182.750000     92.000000  1940.000000   -37.856648   \n",
       "50%       2.000000    450.000000    125.000000  1970.000000   -37.802635   \n",
       "75%       2.000000    654.250000    174.750000  1999.000000   -37.757238   \n",
       "max      10.000000  75100.000000  44515.000000  2018.000000   -37.408530   \n",
       "\n",
       "        Longtitude  Propertycount  \n",
       "count  5432.000000    5432.000000  \n",
       "mean    144.995491    7438.537555  \n",
       "std       0.106382    4368.906756  \n",
       "min     144.542370     389.000000  \n",
       "25%     144.930800    4294.000000  \n",
       "50%     145.000250    6543.000000  \n",
       "75%     145.059225   10331.000000  \n",
       "max     145.526350   21650.000000  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## POSTCODE IS NOT NUMERIC, we should change it to categorica\n",
    "housing['Postcode'] = pd.Categorical(housing.Postcode)\n",
    "housing.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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ycrJeeOEFRUdHd8vPBAD0vKysLN1777167rnn9O///u+SpOeee04BAQHuos6lKigo0I033ihJOnz4sBISEmSz2RQaGnrefW688UatXLmyXfuOHTt07bXXdktcwNkoKqHP2L9/vxYtWqTm5mY1NDQoIiJCv/rVr2SxWHTjjTdq+vTpeu+991RfX6+HH35YaWlpcjgcWrx4sSorK/XNb35T3/zmNzV06FBJ0ltvvaU1a9bIZDIpICBA8+bN080336ypU6cqPT1dAQEBWrVqlbv/zz//XD/84Q/1y1/+Uv/zP/+jgoICnTp1SgMGDNCjjz6qcePG+erQAEC/9tVXXykkJEQ7duzQL37xC5WVlUlSm+Vf//rXOnbsmBYuXNhm32effVavv/66Lr/8cg0fPtzdnpWVpZEjR+onP/nJeXOM0+nUsmXLtHXrVg0dOlQ33XSTPv30U61bt87d//Hjx5WZmanx48fr8OHD7jcKU6dO1Te+8Q199tlnmjJliiZNmqQlS5bok08+kcPhUGxsrObNmyez2azi4mJt2LBBDodDx48f109/+lOlpaV56egCQP9ksVhUUFCgKVOmaNy4cTIMQ3/605/06quv6rXXXtOf//xnuVwuXX755XryySc1YsSIC75fiYqK0p133qmPP/5YBQUF7fo7fvy4LrvsMg0ePFiSdP3112v79u0KDg5us7xv3742uU6SXnrpJVVXV2vZsmUKCAjQ+PHjvXOQ0C9QVEKfUVRUpEmTJiklJUUOh0Opqan661//qoSEBJ0+fVpXXHGFXn75ZVVXV2vKlCm655579PLLL6umpkZvvPGGWltbdf/997uLSsuWLVNBQYGio6P17rvvaseOHbr55pvd/Y0fP959Qt66dauefvpp/fznP9fx48c1f/58rV27VldddZXq6up033336frrr9e//uu/+uTYAEB/0tLSopSUFEnSiRMn1NDQoNWrV3v8c/7zP/9Tb731lkpKSjRo0CDNmjWrw+3Ol2M2btyojz76SGVlZTKZTJo5c2ab/f70pz8pOTlZV155pW699VatX79emZmZ7vX/8i//ovLycknS/PnzFRkZqfz8fDmdTmVlZen5559XWlqaXnnlFf32t7/VFVdcob///e966KGHKCoBgBdcf/31mjt3rhYsWCCXy6UlS5bowIEDKikp0UsvvaTLLrtM7777rh599FG9+eabF3y/4nA4NG7cOD377LPun/8f//EfGjRokOx2uw4cOKDp06frG9/4hsdxpqenq6KiQunp6RSU0O0oKqHPyMzM1Hvvvaff/e53qqmpUX19vU6ePOlef+edd0qSIiMjdfr0aZ08eVLbt2/XxIkTNXDgQA0cOFDJycnau3evJCkpKUmPPvqo4uLidPvtt+unP/1ph/3+/e9/11NPPaXnn39e3/rWt7Rt2zY1NDS0efNhMpm0d+9eikoA4AXnTn+rrKzUrFmzlJOT49HP2b59u8aPH6+goCBJ0j333OO+yuhcHeWYbdu2KSUlRRaLRZL0b//2b+79Gxoa9Pbbb+vVV1+VJE2aNElPPfWUZs2a5f4UOiYmxv3z//rXv+rDDz9UcXGxpK8LZ5I0ZMgQ/eY3v9G2bdtUU1Ojjz/+uE3uAwD0rKlTp2rz5s0aMWKE4uLitGzZMh04cECTJ092b3PixAl99dVXnb5fOfu8L7Wd/vbFF1/owQcf1MiRIzVx4kTvDA64CBSV0Gc88cQTcjqdmjBhgn7wgx/o8OHDMgzDvf7Mi3qTySRJbdadERAQ4P5+7ty5uueee/Tee+/ptdde0x/+8Af3i/kz9u/fr9mzZ6ugoEAjRoyQ9PUN+kaMGKFXXnnFvV1dXZ370lQAgHfddttt+va3v90uLzgcjk73PXv7s3PEuTrKMWZz25dZAwb83/NRioqKJMl99ZLL5VJTU5M2btyo9PR0SXIXl86s//+1d8dxUZb5/v/fE4NY4n5bd5nFJdbKLFrZpJWtaAuyk4AMo4ZWisrpeEpzTdN2MUKOHEzTXI7ukuJpd9s6UZ0iUjDCcSs3dw13U3ZXlyJzW6EUQzBTQBlguH9/+HOOiAqjMDPA6/l4+JC55p6539fNzX3BZ+7rvn/5y1+6xprjx4/LZDLpyy+/1AMPPKD7779fo0ePVnx8vH7/+9932i8AQPe56qqr9L3vfU/SqeP1hAkTXGeetrW16fDhw/p//+//aeHChRf8e+XM4/7ZQkNDdffdd2vnzp0dikrNzc090Cuga7j7G/qM7du3a+7cuUpISJAk7d69u93dGM7lzjvvVGFhoRwOhxwOh2uaQWtrq+6++26dPHlSU6dOVWZmpvbu3dvugF1bW6uHH35YixYt0q233upqj4iIUFVVlXbu3ClJqqioUFxcnGpqarq7ywCALti/f78OHjyoe+65R9XV1Tpy5IgMw9Dbb799wddFR0fLbrfr+PHjamtra3f2U1fExMRo06ZNam5uVmtrqzZu3Cjp1IcPb7zxhrKysrR161Zt3bpV77//vmbPnq2XXnrpnB963HHHHXrxxRdlGIaam5s1Z84cvfzyyyovL9eQIUP0k5/8RHfccYeroNTZ+AcA6Bl33HGH3n77bR0+fFjSqbuL/uu//quki/t75bQTJ05o586duummmyRJQ4YMcd2p9MzrJ52Pn5+fWltb3e4P0BnOVEKvdOLECd18883t2hYsWOCaNhAYGKgf/ehH+vzzzy/4PlOmTNHnn3+uxMTEdhdhNZvNSk9P189+9jOZzWaZTCY9/fTTGjBggOu1zz77rI4cOaL/+Z//0W9+8xtJksVi0a9//Wvl5ORo1apVcjgcMgxDq1at0lVXXdXNWwEAcC5nXlNJOvUp8dKlSxUWFqYpU6Zo0qRJCgoK0l133eX6hfxcYmJitHfvXk2aNEnf+MY3FBYWpqNHj3Y5R1JSkvbv36+JEyfqiiuu0FVXXaXLL79cv//979XW1iabzdZu+QcffFAvvfSStm3b1uG9Fi9erOXLl8tms6mlpUW33367HnroIbW2tqqgoEDx8fEymUy65ZZbNGTIEFVVVenaa6/tclYAQPe444479PDDD2vmzJkymUwKDAzU2rVrZTKZtHDhQrf+Xjl9TSWTyaSTJ09q3LhxmjRpkiQpIyNDS5cu1Te+8Q3dfvvtCgoKumCuu+++W6tXr1ZLS4vuvffebu0z+jeTca6PwwAAAHBJtm/friNHjrgKXMuWLVNAQEC7i3EDAAD0ZhSVAAAAekBNTY3S0tJUV1entrY2hYWF6T//8z9ddxkFAADo7SgqAQAAAAAAwG1cqBsAAAAAAABuo6gEAPCIX/7yl0pISJDVatULL7wgSSotLZXNZlNsbKzWrFnjWraiokJJSUmKi4vT4sWLXXcrqa6u1rRp0xQfH685c+aosbHRK30BAAAA0Aumv7W1tamxsVH+/v4ymUzejgMAl8wwDLW0tGjQoEG67LL+Udv/8MMPtWbNGuXl5am1tVUJCQnKzc3VI488ory8PA0dOlSzZ89WSkqKYmJilJiYqGXLlikiIkLp6ekKDw9XcnKyZs+erfHjx8tqtWrdunU6ceJEly56zFgCoK/pj2OJtzGWAOhrumMsMXdzpm7X2NioTz/91NsxAKDbXX/99f3mgr233HKLXnrpJZnNZtXU1MjpdOr48eMaNmyYQkNDJUk2m012u13XXXedmpqaFBERIenUbdlzcnJ03333aefOnVq3bp2rffr06V0qKjGWAOir+tNY4m2MJQD6qksZS3y+qOTv7y/pVCcHDBjg1mvLy8sVHh7eE7EuiS/m8sVMkm/m8sVMkm/m8sVMkvdzNTc369NPP3Ud3/oLf39/5eTk6Le//a3i4+N1+PBhBQUFuZ63WCyqqanp0B4UFKSamhodPXpUgYGBMpvN7dq7um4A6Is4vnlOZ3+XePv3i3PxxUySb+byxUySb+byxUySb+byxUzS/+Xqjr9LfL6odPrU0gEDBiggIMDt11/MazzBF3P5YibJN3P5YibJN3P5YibJN3L1x1Pn58+fr4cffliPPPKIKisr220DwzBkMpnU1tZ2zvbT/5+pq9vw9HLh4eFuf+/Lyso0evRot17Tl/Tn/tP3/tl3qXf03+FwqLy8vF+OJd7Slb9LfOH3i7P5YibJN3P5YibJN3P5YibJN3P5Yiapfa5LGUuYgA0A6HGfffaZKioqJEmXX365YmNj9ec//1m1tbWuZWpra2WxWBQcHNyuva6uThaLRUOGDFF9fb2cTme75QEAAAB4B0UlAECPO3DggDIyMtTc3Kzm5ma99957mjJlivbv36+qqio5nU4VFxcrOjpaISEhCggIUFlZmSSpqKhI0dHR8vf3V2RkpEpKSiRJhYWFio6O9ma3AAAAgH7N56e/AQB6v5iYGO3Zs0cTJ06Un5+fYmNjZbVaNWTIEM2bN08Oh0MxMTGKj4+XJGVnZysjI0MNDQ0aOXKkUlJSJEmZmZlKS0vT+vXrNXToUK1evdqb3QIAAAD6NYpKAACPmDdvnubNm9euLSoqSps2beqwbFhYmAoKCjq0h4SEKC8vr8cyAgAAAOi6Pj397YYbR3p0fU0tTo+uDwDQ8xhLAAAA4K6mFqdHb/rgrd8h+/SZSoFXDNTVaW97bH2VK60eWxcAwDMYSwDA9xUVFelXv/qVJCk6OlpPPPGESktLtWLFCjkcDo0bN04LFy6UJFVUVGjx4sVqbGxUZGSksrKyZDb36T+LAHjBQH+/fvE7ZJ8+UwkAAABA33by5EktX75ceXl5Kioq0q5du7R161alp6crNzdXJSUlKi8v17Zt2yRJqampWrJkibZs2SLDMJSfn+/lHgBA70VRCQAAAECv5XQ61dbWppMnT6q1tVWtra0KDAzUsGHDFBoaKrPZLJvNJrvdroMHD6qpqUkRERGSpKSkJNntdu92AAB6Mc7zBAAAANBrBQYG6rHHHtO4ceN0+eWX60c/+pEOHz6soKAg1zIWi0U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eU3V19Tn7ffb2CAoKUk1NjY4eParAwECZzeZ27b3B2ceb833PL6bvvjiGnM/Z26Gurk633Xabnn76aeXn52vXrl0qKCjo09thxIgRriJRZWWlNm/eLJPJ1C/3B58oKm3evFnR0dHt/j344IOSTn0KVlpaqp/85CdauHChJOmpp57StGnTtH37dv32t7/VwoULzzsPd/PmzXr66aeVk5Pj+mZ5O9PF6Ik8bW1t7c5uMQxDl13W9V3C3UyStG/fPh09evS8Z2nMnj1bAwYM0L333qvly5frjjvukL+/v1czvf766/Lz89P27du1detWvfbaa/rb3/7m1UzSqe/fm2++qX/913/tcpaeyuN0OrV37149//zzys3N1apVq1RZWenVTFOmTNGjjz4qf39/ff/739dNN92kv/zlL17NlJWVpdmzZ+vb3/52l3PA933wwQc6dOiQJk2a1K79008/1e9+9zv95Cc/Oe9rnU6n6urqNHjwYL3++uuaPXu25s6d29OR3XYpfZR6fozsLufr56BBg/TrX/9aw4cPl9ls1syZM7Vt27ZO38/dcdUTuqOPxv9/Tcbdu3crPT3dE7Hdcil9PHnypLKysrRs2TKf+97B953rd+tLPZPc19x8881atWqVBg8erCFDhmjy5MnKyck5Z7/Ptz3OtV1663Y6Xx+7o+++OIacT2hoqNatWyeLxaLLL79cM2bM0LZt2/rFdti3b59mzpypRYsWKTQ0tF/uD12vsvSgcePGady4ce3aHA6H3n33XdcnYOPHj9czzzwjSXrvvfe0dOlSSacObN/61rf02Wef6aabbmr3Hnl5eXr++ef1/PPP64YbbvCJTBerJ/IEBwfr8OHDrsd1dXXtzlzq7kyS9O677yohIeG871lfX6+FCxe6TjefNWvWeS/86qlM7733nqZOnSp/f38FBQXprrvu0q5du1yVaW9kkqS//vWvuvrqqxUcHNylHD2Z59vf/rbi4+Pl7++voUOHatSoUfr444919dVXey1TYWGhfvjDH+p73/uepFMHYncKlN2dqaGhQTt27NCnn36qZ599VocOHdKf/vQnmc1mjR8/vsu54HuKi4u1b98+TZgwQSdOnFBdXZ0WLFiga6+9VrW1tZo0aZJaWlp0+PBhJScn69VXX3W99pvf/KbMZrMSExMlnTrL9sSJEzpy5Ii+9a1veatLHVxKH6WeHyO7y/n6uWjRIpWWlmry5MmSTh1PzvVBlcViUV1dnYKDg9Xa2qrGxkZdeeWVHu7FhV1qH1tbW/XEE0+opqZGL730kgYPHuzpLnTqUvq4a9cuHTlyRHPmzJF06pPiWbNmae3atbr22ms93hf0LsHBwdq1a5frcW1trVu/W/cGu3btUktLi6KioiSd+jkKCQlpdxHh0/0ODg5u1376b40hQ4aovr5eTqdTfn5+vXo7nd3HS+l7bxhDzmfv3r2qrKx0TeM6fXzt69uhrKxM8+fPV3p6uqxWqz788MN+uT/4ZqlLp07xysrKUnl5uaRTZw388Ic/lCSFhYXp3XfflXTqVLPDhw/rmmuuaff6d999Vy+++KL+93//1+2CUk9l6m6Xmic6OlpvvfWWnE6nqqqqVFlZqR/84Ac9lkmS/va3v3U4Rf1MW7ZsUU5OjiTpk08+0ccff+watLyV6cxteeLECf3pT39SeHi4VzOdXmb06NGXlKO78owZM0abN2+WYRg6evSo9uzZoxtvvNGrmfbu3avf/va3kk7N/6+oqLjk7XUpmQIDA7V9+3YVFRWpqKhId999t+bPn09BqQ9YsWKFNm/erKKiIi1btkzh4eH6xS9+ofnz52vLli0qKirSr371K1kslg7FlgEDBuj222933aH0b3/7my6//HKfu47LpfRR8s4YeTHO18+BAwfq5z//ub744gsZhqFXXnlFY8eO7fD6mJgY190vS0pKFBkZ6VYx2xMutY/PPPOMGhoa9Nvf/tYnC0rSpfXxzjvv1NatW13HaovFol/96lcUlNAlt99+u3bs2KGvvvpKJ0+e1O9+9ztFR0d7O1a3qq+v16pVq+RwONTQ0KCNGzfq8ccf1/79+1VVVSWn06ni4mJFR0crJCREAQEBrjtMFxUVKTo6Wv7+/oqMjFRJSYmkUx8E9tbtNGrUqG7re28YQ87HMAw9/fTTOnbsmFpaWvT6669r7NixfXo7HDp0SHPnzlV2drbrchj9dn/wxNXAL9bOnTuNe++91xg/frzx8MMPG4cOHTIMwzD2799vzJgxw7Barca9995rfPDBB4ZhGMa7775rpKenG4ZhGDabzfjxj39sjB8/3vVvz549Xs102hdffNFtd3+7lDxtbW3GypUrjYSEBCMhIcH44x//2KOZDMMwxo0bZ/zjH/9ot/yZmZqamox58+YZiYmJxsSJE42dO3d6PVNjY6OxaNEiIz4+3rBarcYLL7zg9UyGYRiZmZnGq6++2i1ZLjVPc3OzsXz5ciMhIcGIi4sz8vPzvZ6pvr7emDdvnmG1Wo3ExERjx44dXs90pieeeIK7v/VyY8aM6XBXqD/96U8d7oxmGB2P+7/4xS9cP781NTXG7NmzDavVakyYMMH429/+1rPB3dBdfTzfmOQrutJPu91uWK1WIzY21khLSzMcDodhGO37efToUWP27NlGQkKC8cADD/jUXcO6o49HjhwxbrzxRmPs2LHtfr/yFd31fezsPYEL2bRpk2sf+9WvfuXtOD1izZo1Rnx8vBEbG2u8+OKLhmH8390gY2NjjeXLl7vuSlxRUWFMmjTJiIuLMx5//HHXz9yBAweM6dOnG+PGjTNmzpxpfP31117rz8U489jQXX335THkfM7cDi+//LIxbtw4Y+zYsa672hpG390OTz31lBEREdFuPHz11Vf75f5gMgzD8HZhCwAAAAAAAL2Lz05/AwAAAAAAgO+iqAQAAAAAAAC3UVQCAAAAAACA2ygqAQAAAAAAwG0UlQAAAAAAAOA2ikoAAAAAAABwG0UlAAAAAAAAuI2iEgAAAAAAANz2/wG8veIWzErDMwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x1080 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.hist(bins=10, figsize=(20,15))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Divide into train - validation\n",
    "\n",
    "There are several ways to divide your training data. Sometimes it is important to create a stratified sampling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For illustration only. Sklearn has train_test_split()\n",
    "def split_train_test(data, test_ratio):\n",
    "    shuffled_indices = np.random.permutation(len(data))\n",
    "    test_set_size = int(len(data) * test_ratio)\n",
    "    test_indices = shuffled_indices[:test_set_size]\n",
    "    train_indices = shuffled_indices[test_set_size:]\n",
    "    return data.iloc[train_indices], data.iloc[test_indices]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4346, 1086)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_set, test_set = split_train_test(housing, 0.2)\n",
    "len(train_set),len(test_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Create a function that divides the data with an id\n",
    "## checks that id is not train and test set\n",
    "from zlib import crc32\n",
    "\n",
    "def test_set_check(identifier, test_ratio):\n",
    "    return crc32(np.int64(identifier)) & 0xffffffff < test_ratio * 2**32\n",
    "\n",
    "def split_train_test_by_id(data, test_ratio, id_column):\n",
    "    ids = data[id_column]\n",
    "    in_test_set = ids.apply(lambda id_: test_set_check(id_, test_ratio))\n",
    "    return data.loc[~in_test_set], data.loc[in_test_set]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_with_id = housing.reset_index()   # adds an `index` column\n",
    "train_set, test_set = split_train_test_by_id(housing_with_id, 0.2, \"index\")\n",
    "\n",
    "## create an id base on latitude and longitude\n",
    "housing_with_id[\"id\"] = housing[\"Longtitude\"] * 1000 + housing[\"Lattitude\"]\n",
    "train_set, test_set = split_train_test_by_id(housing_with_id, 0.2, \"id\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Suburb</th>\n",
       "      <th>Address</th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Method</th>\n",
       "      <th>SellerG</th>\n",
       "      <th>Date</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>CouncilArea</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Regionname</th>\n",
       "      <th>Propertycount</th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>Coburg</td>\n",
       "      <td>4/34 Gladstone St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>650000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Barry</td>\n",
       "      <td>29/04/2017</td>\n",
       "      <td>7.8</td>\n",
       "      <td>3058.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>1975.0</td>\n",
       "      <td>Moreland</td>\n",
       "      <td>-37.74490</td>\n",
       "      <td>144.97540</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>11204.0</td>\n",
       "      <td>144937.65510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>Malvern East</td>\n",
       "      <td>2/25 Fisher St</td>\n",
       "      <td>3</td>\n",
       "      <td>t</td>\n",
       "      <td>1135000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Jellis</td>\n",
       "      <td>17/09/2016</td>\n",
       "      <td>11.2</td>\n",
       "      <td>3145.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1988.0</td>\n",
       "      <td>Stonnington</td>\n",
       "      <td>-37.88120</td>\n",
       "      <td>145.05700</td>\n",
       "      <td>Southern Metropolitan</td>\n",
       "      <td>8801.0</td>\n",
       "      <td>145019.11880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>Coburg North</td>\n",
       "      <td>27 Williams Rd</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>770000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Brad</td>\n",
       "      <td>13/05/2017</td>\n",
       "      <td>9.2</td>\n",
       "      <td>3058.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>545.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Moreland</td>\n",
       "      <td>-37.73040</td>\n",
       "      <td>144.96050</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>3445.0</td>\n",
       "      <td>144922.76960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>Hawthorn East</td>\n",
       "      <td>1/27 Auburn Gr</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>1405000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Kay</td>\n",
       "      <td>20/05/2017</td>\n",
       "      <td>7.5</td>\n",
       "      <td>3123.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>1985.0</td>\n",
       "      <td>Boroondara</td>\n",
       "      <td>-37.82550</td>\n",
       "      <td>145.04810</td>\n",
       "      <td>Southern Metropolitan</td>\n",
       "      <td>6482.0</td>\n",
       "      <td>145010.27450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>Oakleigh South</td>\n",
       "      <td>8 Cedar Ct</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>880000.0</td>\n",
       "      <td>S</td>\n",
       "      <td>Buxton</td>\n",
       "      <td>8/07/2017</td>\n",
       "      <td>15.5</td>\n",
       "      <td>3167.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>504.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kingston</td>\n",
       "      <td>-37.94043</td>\n",
       "      <td>145.09314</td>\n",
       "      <td>South-Eastern Metropolitan</td>\n",
       "      <td>3692.0</td>\n",
       "      <td>145055.19957</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index          Suburb            Address  Rooms Type      Price Method  \\\n",
       "5       5          Coburg  4/34 Gladstone St      2    u   650000.0      S   \n",
       "11     11    Malvern East     2/25 Fisher St      3    t  1135000.0      S   \n",
       "12     12    Coburg North     27 Williams Rd      4    h   770000.0      S   \n",
       "16     16   Hawthorn East     1/27 Auburn Gr      3    h  1405000.0      S   \n",
       "24     24  Oakleigh South         8 Cedar Ct      3    h   880000.0      S   \n",
       "\n",
       "   SellerG        Date  Distance Postcode  Bedroom2  Bathroom  Car  Landsize  \\\n",
       "5    Barry  29/04/2017       7.8   3058.0       2.0       1.0  1.0     136.0   \n",
       "11  Jellis  17/09/2016      11.2   3145.0       3.0       3.0  2.0       0.0   \n",
       "12    Brad  13/05/2017       9.2   3058.0       4.0       1.0  1.0     545.0   \n",
       "16     Kay  20/05/2017       7.5   3123.0       3.0       2.0  2.0     185.0   \n",
       "24  Buxton   8/07/2017      15.5   3167.0       3.0       2.0  2.0     504.0   \n",
       "\n",
       "    BuildingArea  YearBuilt  CouncilArea  Lattitude  Longtitude  \\\n",
       "5           81.0     1975.0     Moreland  -37.74490   144.97540   \n",
       "11         130.0     1988.0  Stonnington  -37.88120   145.05700   \n",
       "12           NaN        NaN     Moreland  -37.73040   144.96050   \n",
       "16         185.0     1985.0   Boroondara  -37.82550   145.04810   \n",
       "24           NaN        NaN     Kingston  -37.94043   145.09314   \n",
       "\n",
       "                    Regionname  Propertycount            id  \n",
       "5        Northern Metropolitan        11204.0  144937.65510  \n",
       "11       Southern Metropolitan         8801.0  145019.11880  \n",
       "12       Northern Metropolitan         3445.0  144922.76960  \n",
       "16       Southern Metropolitan         6482.0  145010.27450  \n",
       "24  South-Eastern Metropolitan         3692.0  145055.19957  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_set.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "## divide using the scikit learn function\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "train_set, test_set = train_test_split(housing, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing[\"Price\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing[\"price_cat\"] = pd.cut(housing[\"Price\"],\n",
    "                               bins=[0., 500000, 1000000, 1500000, 2000000., np.inf],\n",
    "                               labels=[1, 2, 3, 4, 5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2    2498\n",
       "3    1286\n",
       "1     646\n",
       "4     597\n",
       "5     405\n",
       "Name: price_cat, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing[\"price_cat\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing[\"price_cat\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import StratifiedShuffleSplit\n",
    "\n",
    "split = StratifiedShuffleSplit(n_splits=1, test_size=0.2, random_state=42)\n",
    "for train_index, test_index in split.split(housing, housing[\"price_cat\"]):\n",
    "    strat_train_set = housing.loc[train_index]\n",
    "    strat_test_set = housing.loc[test_index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2    0.459982\n",
       "3    0.236431\n",
       "1    0.118675\n",
       "4    0.110396\n",
       "5    0.074517\n",
       "Name: price_cat, dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "strat_test_set[\"price_cat\"].value_counts() / len(strat_test_set)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2    0.459867\n",
       "3    0.236745\n",
       "1    0.118925\n",
       "4    0.109904\n",
       "5    0.074558\n",
       "Name: price_cat, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing[\"price_cat\"].value_counts() / len(housing)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "def price_cat_proportions(data):\n",
    "    return data[\"price_cat\"].value_counts() / len(data)\n",
    "\n",
    "train_set, test_set = train_test_split(housing, test_size=0.2, random_state=42)\n",
    "\n",
    "compare_props = pd.DataFrame({\n",
    "    \"Overall\": price_cat_proportions(housing),\n",
    "    \"Stratified\": price_cat_proportions(strat_test_set),\n",
    "    \"Random\": price_cat_proportions(test_set),\n",
    "}).sort_index()\n",
    "compare_props[\"Rand. %error\"] = 100 * compare_props[\"Random\"] / compare_props[\"Overall\"] - 100\n",
    "compare_props[\"Strat. %error\"] = 100 * compare_props[\"Stratified\"] / compare_props[\"Overall\"] - 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Overall</th>\n",
       "      <th>Stratified</th>\n",
       "      <th>Random</th>\n",
       "      <th>Rand. %error</th>\n",
       "      <th>Strat. %error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.118925</td>\n",
       "      <td>0.118675</td>\n",
       "      <td>0.115915</td>\n",
       "      <td>-2.530611</td>\n",
       "      <td>-0.209911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.459867</td>\n",
       "      <td>0.459982</td>\n",
       "      <td>0.471941</td>\n",
       "      <td>2.625467</td>\n",
       "      <td>0.024822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.236745</td>\n",
       "      <td>0.236431</td>\n",
       "      <td>0.226311</td>\n",
       "      <td>-4.407382</td>\n",
       "      <td>-0.132915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.109904</td>\n",
       "      <td>0.110396</td>\n",
       "      <td>0.114995</td>\n",
       "      <td>4.632331</td>\n",
       "      <td>0.447037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.074558</td>\n",
       "      <td>0.074517</td>\n",
       "      <td>0.070837</td>\n",
       "      <td>-4.990744</td>\n",
       "      <td>-0.055198</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Overall  Stratified    Random  Rand. %error  Strat. %error\n",
       "1  0.118925    0.118675  0.115915     -2.530611      -0.209911\n",
       "2  0.459867    0.459982  0.471941      2.625467       0.024822\n",
       "3  0.236745    0.236431  0.226311     -4.407382      -0.132915\n",
       "4  0.109904    0.110396  0.114995      4.632331       0.447037\n",
       "5  0.074558    0.074517  0.070837     -4.990744      -0.055198"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## check the proportion of each category with the different approaches\n",
    "compare_props"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "for set_ in (strat_train_set, strat_test_set):\n",
    "    set_.drop(\"price_cat\", axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Discover and visualize the data to gain insights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing = strat_train_set.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(train_set[\"Price\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "h    3014\n",
       "u     944\n",
       "t     387\n",
       "Name: Type, dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We can check how many different type there is in the dataset using the folliwing line\n",
    "train_set[\"Type\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='Type'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(y=\"Type\", data=train_set, color=\"c\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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tiIuLg91ux+XLlzWB8/79+3H8+HFMmDBBc9/U1FQ8/vjjMJvNuOmmm/Dpp58iLCwsVEMndcSY3u2w8P5EmHkWERYOYSY2YDm6cvpJmIlFlIUP6GOTypMXxBoxsSzSc65pbmMXJFgdkqbCTX6xFRk515RqN6Tmos+KEFLThHzm22Qy4cSJExg3bhx4nsfUqVNV1y9btgxTpkwBx2lzZM+fP4/Tp0/j3//+N4qKijBhwgTcfPPNIRo5qUvG9GqHexNaBCVHl/J/ax5PC2IB5+LZrm0aebwN4AzSVx28gLe/zaaGOrXAqgPnMW9zFkwcC0GS6LMihNQIjCRJvnWY8FNqaipefvll1WUdOnTAypUrlb9Xr16NDRs2YPXq1QCAU6dO4emnn8aXX36p+5h//OMfcdttt+GVV15BXl4eHn74YaxcudKnANxqtSIzM9Pr7QghddPuC6V4+1AhOIaBXZQgSYCZYyBIEp7sGY272oarbiOIEgQJcG2AaiqfGHctD2/mgHeHNkO0hdom6Cm0ivitRMBNEVxI36OvTpfg/R+LVJfRZ0UICaXExERYLNoJuKDNfA8ePBiDBw9WXWa1WrF9+3YMGjQIAJCcnIyUlBTl+u3bt2PIkCGGj9m0aVPce++9MJlMaNmyJZKSknDs2DG/Zr+N3oj65vDhw+jRo0d1D4NUs/q0HfToATx2j+dqJ+632Zudp6puMqDzTdj202XV41p4HjFtbkVSm0ahfkkBEYxtQK4Yk3mxEPO3ZYFjWAiSiCWjk0Iy85xfbMXKL9I0l5s4rlZ/VsFUn/YFRB9tA4HjbcI3pGknPM9j3rx5aNGiBRITE5Gamoru3bsr16enp+Mvf/mL4f379++P1NRUDBo0CNeuXcPRo0fx3HPPhWDkhJC6wH3BrF5KkOttXFOIIswchr65W3N7m1B/G+q4l2UEKqrK8CyDYqu88tj536lr0kPScCq3oBRmjoHNob7cXo8/K0JIzRHS4JvjOLz22muYPXs2BEFA8+bNsXDhQuX6nJwcNG/eXHWfHTt2IC0tDQsXLsRf//pXLFmyBMOGDYMgCHjyySfRvn37UL4EUg/oBRSk/pKD8Yyca+XdTtUR3eT+cXVyO/H2PTAqyyhXjNHjEJ2Nru7ueFNQx966cTgcojajcs7whDr5WRFCapeQL7js2bOnqqygq23btmkuGzhwIAYOHAjAuVjzxRdfDOr4SP2mF1DQAi0C6C/aNHNAUpto5BdbNUFdbT6I81bvHICmLOP0dUfx/mM9nHXU4WnhalCWGanIVYemrzsKjmVgFyTMGR6PMb3aeb1vbf7cCCG1A3W4JKScXi3o6euOhuQ0OamcUAZKckA3bW0GOIaF1SFAAoOnVh3RHKjV5oM4ve/B1DXp4FgWZs75ep76Q5wmyHaWaWQ8VowxcQwSWkUH+yUAqFzVodr8uRFCag9a8k1IOb1a0CbW2fmS1Dwb0y+ib0oaHv3wIPqmpGFT+sWgP6dzzpaBBGclFLugXwNcDl7dr6sN9L4HDhGwOipez/Kd2Zr0G5sgAJAwa2i8UueeYwCOZRBuYmHhWbz6QFJID2RjIi1IatPIp+es7Z8bIaT2oJlvQsrppRXYRVqgVRNVx1kK+TmtDv2ZXdcDNb1Z4dyC0lpxBqV143CUOQSPt2EYZ0Cu/A1AlICnVh2BTRDxeN+bAQAf7T0LnmVhF0TMGZ5Qo2eR5YOO2vq5EUJqD5r5JqQcdaesParjLIW3LpnygVrrxuGwCbX7IM5b+4cyuwjXlyih4iyA1SHine/O4J3vzsDqkFBiE2ATJCzYeiwgs8hyx8rsy0UeO1e6d7b01umSDr4JIaFCM9+EuKDulLWDP4FSoPLCjbpkRlg4CKKkHKhtTL8IweV2Jo6pVQdxuQWlCDfxKLJWpJVYOAYSw8DCOXPdbYL/iyYDMYss52RLogSrICGsvOuRe262e+72gz1aY83hXI+53K6LNF1vV1s+N0JI7UHBNyFu3GtBk5rH10ApEAvoXIN39+ecNTQeibHRSmAvp6a4pmSwDNA3rmkgXnZI6B1kMCyDrZP7ocQmIOfqDUz+3xG/H9efWWS9AybXVCOZ/G/XlCO9lKRPDlxw3t5LihIdfBNCQoGCb0JIreQtUKpqXnh+sRWrDl7AWzuzlSofi0d1wd4ZAwyfUy9v2MxxtSpv2OjAJq55FABncM7A94KB7mcGvDE6YNJ7b2Wus+qebqd3e73XX1s+K0JI7UTBNyGk1vIUKFVlAd3G9IuYvjYDVoczxJQXWU5fdxR7ZwxQ2pO7z9DWlbxhbwc2POesnW3EwrEAI2H2sATVmQFvPB0wGaX9AOr3WC/n3tPtCSEk1GjBJSGkTvIWCBstwKuoaqINLl0XdbqXOlx18DxyC0pVpfZq86JdozJ9uQWlCOM5j/d1rktlEBXGK4+RX2zFrpNXsOvkb4aLHj0tpHVdEG3hGABAmInVvMcxkRZM7h9nODYzX3s/E0JI3UAz34SQOkmvy+GsYfHKokijXHBPaQty8J59uQjT1h6FzVExQ/vSF5mIMHMQJOfzJLbyfca3NvE0Ay0rdcvF3pOdhxc+z1BmyzkGeG5QRzzSq60SmOcWlCLCzHk8YHKdkY8wcyixCbrv8SO92uLNtJOwuVVMNHEMtj3dT0mhIYSQ6kDBNyGkzkruGouiMgfmbc6CiWOxYMsxQAIWbD2mSW2Ib9kQJTZBNwAEAEv5jOme7DxM+zxDt+JHSXm0t2DLMeydMaDOBd6A9qCmxGpcE9zEssi6dF0VeAOAIAGvfnMSy3dm46HbW2PNoYpKJA/2VP/tPkvtmmokB+0y1zSZpQ90xdQ16criVxPH4NUHktA4woyMnGt18sCIEFI7UPBNCKmz8outWLD1GGyCVN6BEZi3OQtmXptxN2TZblh4ThMA2gQBk/vfikd6tQUA3PnKDq+l9mp6cxbXXHWjy11npN0DVXkG+tWvT+DT73MMn8cuirheajfMD7c6RHyyX12JZM2hXGwpr6wij08vWHY9e1Fqd4BhGISVf37ymYy+cU2Rdek6AAkJraKxJzsPfVPSqH08IaRaUfBNCKmzdBddcqwmeJZL1tkEZ21r9wBQDvqW7TilmwvuriYv6JODVp5lYBMk/LVLBHr00KmNrTMD7R6orvvxou5zuFY4aRhu8mt8JpZFiU1AUptGhulBegszAQn28s/PtarN3R1vAlA9XVEJIUQPBd+EkDpLLz9ZkCTMGR6PBVuOwcSysAoiGMnZtEXmGgDK8outeGtntuFzmTlGmTmvKQv69Gay3Wtlv/9jEZo2P41/bT+pro3tNiM9bW2GKlDNLSiFmWOVSjCyJ37fAfcmtlQ9J8c4U018IR+4eAqWvZUT1DvzQO3jCSE1BQXfhJA6y6hmdXLXWNyb0EJZuDf0zd2q++nNXBsFm7J/PdgVbZo00KRHBKrDpr/0Zo3bxUSAZxnNbRd/dRxhJs8VTKwOCZ8evICnB94KQP/AxsKzGH9XB02O9msPqfOvASjdKY1yvDNyrmmCZY5hsPP4FXRt08jjok+9z6+ulIEkhNR+FHzXEPnFVmRdKgTAIKFVw6D8SBvleRJSlxnVrJYX7m1MvwjRZVaWZ6E7c+2pygfHAH1uialSh01fg3Rfbmc0a7xlcj/dfHWzTiqOnuU7s5Xc99yCUswaVnEGQX59gDZHuyL/2rmPaxUdpkrpeXZgR81rctbrVi/mLLEJmLMpC3ZRwn1dW2FTxiXDnG/394baxxNCagoKvmuAjekXVdUAeNY5ixbIhUDuQcCk7lHo0SNgD09IjWXUqlye9Z6x7qhqQSDHsrrt4F2DNwCq1A2WZbA3O0/1nfUnx9jXIN3X2xmlWJTYBMwZHo+XvshU3V4ENKk4giBqUkU4lsGqgxfw9rfZyhhmDY1XGul4WtDozL9uphmrfJ37Z5N5sRB6JxnkijJrDuXixSGd0at9jDKh4O2gpDa0jzc6uKquMyiEkMCj4Lua5RdbMX2t+sffIWrzK11v7+8OWC8IePtQIR67x0o7cVJr+XK2SC9YlQDlMqtDAOuWhmHmjPOAXStoTPjkkJKCYhckTWDta46xr0G6P8G8pxSLpDaNAAlK+UW7IBim4ghui0sFUcJbO52LTuUxLNjqLKuI8ve1KgsaXReDFnsoYShb8tUJrPjL7cr+0Jfnqcnt440Orvw5g0IIqfko+K4mchBdWGoDp5ODyTEVP9LybQ+eycfSr0/AxLEQJMnnHbBeEMAxDC00CjLX2VXXsmk0e1V13s4WOQPz65i+9iisLo1wnv88Awwk2ISKhYTu07ve8oBjIi2IDjdp8r/dA2tfc4x9DdL9WTAYE2nBgz1bK4smAWdutXy7Mb3b4d5EZ6Cdn3MKSXFNlVQReZHpktFJmjrZj/e9Gf/efx5ARWDMAMi6VIjocHOVFjTqLQb1xi5ImPSfwxDh+/6wpjI6uIpv2ZCqtBBSx1DwHWR6M9Wusxg2QVDlm8oEyfkjLd9WFCUlJ1POg/R1B2xU8YFyvwPL9bPek52HGeuOQhKdVTTCTCwEUYIkSQg38TR7VQXezhbJ7z0LRrM4Uq/etIVjIDEMLJzz+/jUHypak+sdQMVEWgwD6wgzp8p39iXH2Ncg3Z8Fg/nFVqw5lKu6bM2hXDw7sKMm5/31Q1Y86ZIqInfn7BvXFAdfHKTUyc65Wor5W7I0pRZL7SLGffwD5o9IrNKCRm8VTIzcsDv3h9PWZqBRAxMSWkUHfc1MZR7f2/2NDq7SdRaeUpUWQmo3Cr6DSO9UYd+4pppZDJ51ziq5zuItGZ0EAB5ngnydvdYLAiZ1j6IddwDpHVC5Bnqun2GRVVuLmPgut6DU8GxR1qVCv2dPRQCpT/fDtsxf8dbObLy/6wzeTDuF+JZR+Cn3OhgGcEjOSh4MA+Wgyf079WDP1hi2fI8mNcBbjrGvQbo/Cwb9SXl5+1Ch6kzAS19kIsLMqc6u5RdbMfE/hw1rnAsSMH9LFmYPT9AswPR1+/bWtp5ngZHdY7HhyCVwLKO0sJdZHRIm/fdHiH6cFfSVp3rjvgTkRr8Frvc1OrjSq+xCVVoIqd0o+A4So1OI7z/WU/OjGG7i8daY7gAkuOav6pXacmUXfN8BuwcB505ker8T8Yl+ww/v/J29ogVXTq0bh0PQOV0kSCIAxu/ZU0lyPtbb32bD6hCV2fL03OvlN3D+R75cPmhy/U7JOdKuudAvfJ6B+JYNEdfc+4GurwsBfb2dPykvPMPABvX7KS9q9LWuNuA8+ElsFY29MwZUajvVO7iYNSwebRqHw3W/OOPe3yHrUmF5zr163Dds3s8K+vM9Mkpfmr7uKIrKHFiwteJAw3Xhqbdc/alr0sGxLMycOpjXO7iKax5FVVoIqWMo+A4So5knQNL9UdRbMOZtJmjO8AS/f9zk25/z+V7Em8qeLvdn9srTgqtAlqirDWIiLVgyugued8v5nj08AYCkKU9n5gCAMSylF27idU/tG5EkaA6a1v2YqwkEbYKEIW/uwdLRvs3C6lX8cF0n4Jr64tr8x5Xr/fQC2dyCUuW5AOc+xiEZlxjkWEZ5PPf31Z2cKleVBY2+nim4u2MzLBmdhOnl6UVy6onM6MDWn4WL8m310pc4lsG8zVmwCRUHWy9tyESEmYVdkDBneALG9G4HQH//4BABhygaHtDJqT4JraJ9fl8IIbUHBd9BYjTzlNAq2udZDNeZIDl32MKzkAC88MeOSIyNRn4xVSypbnqfNc8CLMPCJmiDuQZmDqIkYdZQbTCkx1OVCzm/2dvp8LpWLSG5ayziWzbEnuw8NI00o7DUoaQ7iJLz/XfNrS+yOjTl9WSldofXpi2urA4RWzIuIfNiIeZtOQYTC5TY9O9rc4jKZ3X2t2LsOpWHu29tip7tYwwf37XiR6nNWY2FYxmU2UVnfjqA/+vXXtXMJr/YilUHL+Ctndmq2VR5FjrzYqEmHSS5ayzO/laMbs3N+PFXG8wmDiVuFUZKrAIyLxbiXH6Jam0KA4BlGAiSOlUuEPsiT8G763YtB6Qf7D6Dd787o7qd64GtXBXneqkd09dmqM5OGM2Qe1v8aRckmMrXCLiSt4OXNmQCDHBvQgsUltq8Hri4HiwYfadrcpUWQoh/Qh58Hzp0CIsWLYLdbkdsbCxSUlIQHR2NkSNHQijfQZWVlSEnJwe7du1C06YV9XZnz56NjIwM5e+TJ0/itddew7333hvql+GVp/xMf2YxXG+bV1SGjNxCMAD+9c3JOhNI1XZGn3V8y4YYsmy3asbVwjN499HuyLlaqjpl7ekzNDqL4prf7O10+IKtx3SD90KrqGmIUhuoc+xFCKIIh1iRt2zhWbw1prsqhUueOdbTOMKMqfd0RErqcZ/aoH+w56zyb5uX20oS8MA7+3Am/wYAYFlaNu6Ki8F/xvfW3FYv6BMESZnht5b/953vzuC9787g9T93hQQoQSWgTo/ZO2MAWjcOx0Pv79d8/v/edxaHLxQqz5NwUyRaNLLgy8wrqjHN35KlWcMgAeBYCRPv6oCEltFoGM6jVXR40LalioOLUzBzFY10+sY1xcp95zS3nzUsHgCwbMcpvJl2SnehLWA8Q250Nks5cC5vLuTJ7A2ZmL/5GMyc+oBQb02IfLCgd6A9be1RNGpgDlrzNUJI6IU8+J45cybeeecdxMXFYenSpVixYgWmTp2K9evXK7eZPn067r//flXgDQDz589X/r127VqkpqbiT3/6U8jG7i9PQbY/sxgxkRa8sf0kPjlwQXU5lZ2qOYw+66UPOE+NcwwDuyBi9rAEtIoOx/hPDsPm8K10mNFZFL38Zo5hMG/LMdVjz9ucBTPPqu5vYlmsOngBy9OuwMJfrVUHcb7k2Js5FtHhJlV6hWCQXuEQgf9b+QPScwt1r68qq0NUAm/Z7ux8/O/gefwxoYWqnGhhqU23/bseEcBzq9Nh4hndhZAsmPL0Bee/XQmCqAq8AThfv7pAipOkXyXGJgAf7DoDjmUBqeLMHMNAqZgSiEB81YHzmLs5q+IAxFGxYPn9x3povgMRZg65V2+g96Lt8Lbu1ij1S+87Jx84K9VUymulcyxQatdbgwAILmsIXA8I92bn6U7M6K3zsTrEOlNOkRDiFPLge9u2bTCZTLDb7bh8+TI6deqkun7//v04fvw4Xn75ZcPHKCgowLJly/C///0PDOPbD1V1CcSpwuzLRZrA25UkSlR2qgbQ+6z7xjXFuDtvxoo952DmWczdnAVRlDSzq54WX8oz69PWHgXHMhBE549wQquG2qBcEGHmWdgcLo+t0zrcJoh4a+cp2ATAJtSu6iu+5Ni7B1Xye/j8mnTdgCxYgbcnszZkYtbGTAy5rSW+PnZZqZSjk6lkSARgN6hAcsMuYNzH34NlGU3w7EcxGGW2XY+cu6zc1lFRMSWMZyFBwpLRST4HjO7pUqsOnHemcOjgGAZnfivRpHRYHQLecUtDcRfOO3slzBoa71cFmrs7NkN+sRXLdpxypvjwzlrvLOB1tYCZc675yS0oRd+4proLU43W+cg57bXlO0oI8YyRJA+rbYLkxIkTGDduHHiex2effYaWLVsq1z388MOYOHEi+vfvb3j/1157DTabDTNmzPD5Oa1WKzIza2eFj22nSrAivcjjbV7/U1O0aUgp/DXJ7guleOuHQp8CHTMHvDu0GaItrO718mOxcJa9+79uUfjTLRHYfaEUbx8qBFeef/vXpCiszCiCa3aFmYNyuXy7UZ0jsPHEDdxwCdzCeQZzf98EcU1MVXzlwVVoFTFp6xUYZJAAACZ2d74/rpb/UICd56xBHl3VcXBtYRMcvgSLgcIxwAfDjbdtmeu27BAl/DkhAquzSjx+f8J5BlZB0u2VYIQFwLKAiXV+F57sGY272uovfC60ivitRICl/OzC6QIbPk4v8uvgRcYxAMs4n9fh4Xnl94EB4N7ks7Z8RwkhTomJibBYtAfLQYvWUlNTNbPXHTp0wMqVK9GpUyfs27cPq1evxpQpU7B69WoAwKlTp1BQUOAx8BZFEevWrcPatWsrNS6jN6Im+4W/BKQfMbw+zMSifVwnwwoIeg4fPowePXoEYHRET36xFWM2pPn0I82zDJY+kIQBBrODeo/1/o9FaNeuHZ67vx0eu0c9W5jY8aJmxi65ayz+NkRdQeOLlDTApcScCAaD+nTzuvjTtRKDe0m1UFVjWNrgomGliwgLh6F9uqi+D+9/dxo7z/0a1DEFSgMLj0d7t8V7350JWoAcqsAbcKZf3IiIxYCkVoa3kbdx5wGVc5v8z08lsPAs4GEhbKnBrL9HjDxjX54/f/g6ht2ZpGqi5EpeX8AxjOGagTATC1F0LsK0OgRwLKupkAI4zzjYy5/33R+L8Ng9t2uer0cP4LF7rLrlFCXG+3e0sug3gdA2EDjeJnyDFnwPHjwYgwcP1gxm+/btGDRoEAAgOTkZKSkpyvXbt2/HkCFDPD7ukSNHcPPNN6NFixaBH3QN1eeWGCXdQI8gUrfKmsaf8oMs40xP8fRYnE561ZyNWbi3PGfY9cfYKP/c/XaLR3VRtQ8XRBF7s/MMSxhuTL+I593ajb/6gDOlINTVVFxLsjkDFJcFim7fh/xiKxZ/fSJoY3HFMZpu9X6ziyLG39UBPds1xv99cjgwA6tmz64+gkvXSjHx97foXp9bUKqb664XwI7q1gpfHbuMYvdpYR+570atDgl/fH0XwkwcBFHCktHqMp6+Nm3a9sxdKLEJiDBzGLZ8j+o6M8eCYSQIbgcLnlLNXMspUn1vQuoWz+cBA4znecybN085GkhNTUX37t2V69PT09GzZ0+Pj5Genl7vjsxiIi0Y06uN4fWiP+dcSUgY5W5yOt84C88pJQeNHkuvZKFDlJB1ST9XOSbSgqQ2jTz+UPeNa6pahucQnTml+cVWbEy/iL4paXj0w4Pom5KGVQfOY/raDLjGQnZBwrS1R5F9uUgJUIqsDpTZReVxqiK/2IqMnGuGjxMTaYHdISCxVRR4lkG4iYOFZ/HUH+JQUGJT7ptbUAoLF5q1IYFI4ps1zJmHPDC+Be6KMy5JqMc9fq0pK2IECViUehzT16brXu/cxrVvnpljYOZZRFg4mHkWC+9PxItD45VZ60ARJWeDHqtDxPOfZyjbnHwQ7YmFZ5VmOEltGilNccJMLKIsPMJMLF74Y0fNotgyu4gIZxF6w209uWss9s4YgP+O74W9MwbQYktC6oiQJglzHIfXXnsNs2fPhiAIaN68ORYuXKhcn5OTg+bNm6vus2PHDqSlpSm3y8nJ0SzSrOvyi61Yc0ivDIGTxcTRgssaxn3Blk0QMLn/rRic2AJD39yjmtHz1mwnJtKC8f3aGywiq3x45QwsGOU0OGBcwtBZ1YEB3Dohciyj26DG3+6dsuzLRUjPuYaTv17Hx/vPw8yxqjbnrv742rc4eblE+dshOmdC//XNSbz6zUmYOQZgGLxwT0ePs9GBzH+u6uMwANo0boBdJ68AYHBvYkvszs736b592jfG/rMFqsskAF1aR+Foruc1I6Gy5tBFTLzrFsQ1j1JdHhNpwZzh8Zpa7CzLYMvkfpqUEOcC5AzdKi9VZRckfJ31K+JbRSPCzHms/z6qWyye+EPF65EP9twXVOYWlMLMAq7l4C2cM43Fta67TZAwZ3g8xvRqp9yO6nsTUveEfIVez549VWUFXW3btk1z2cCBAzFw4EDl77lz5wZraDWWtxQGSjupmYzSP2YPj8e8zcdg4ioql3hrKjKqe2u8v+uMKojkWSChVUPV7XzpcumcLWfQKjpM093QsIQhy+jONgqipNugxiaIKCy1+9QESg64d5/6DRszflGPR6io8hDfsiEuFZYBkHC12KoKvF3Jo3TOpEpYlHocD/aMxaaMX2Czi6pv0eCE5kjNuuxxfKEkAfjrx9/7tYBQ9qfElprgG0CNCbxl6TnXNME3AGfAWV6+z+Ry0KV32+SusWjUwIRJ//1RaSkfSDO/yISFY8CwDB7s2Rqrv8/RnZnfdPQStvz0Cyb3j0OTCLNh7f4vM3+Fex8mhmUQYeY0aS0vfZEJSFA6ZBJC6h4qj1ELeGozb+IYLBlNeYA1hXsQ7D5rtTH9YnmnQQZ2h4g5wxO8treWf8zH9G6Lz37IAcewECRR6SjobebM9fFecGvJfk/7cOy8YFUFDHolDEvtInq3b4xD5wuU1BNnV8Muyml2eZa/zCFAEEU8tepHr/nfszf85LGMpkySgD+9vks5+PB3vn/94Yv48rm7UWITYHcIOJd/A13bNEKJTUDaid90c4urS2UC74X3JaJT88jAD6YKtOdJnLp6WBg+pnc73JvYwqcDyYRW0RC95Pnc87tm+Pbkb4ZNdjyxChIgSFhzKBefju+FRz78XpP+ZS8/wHv1m5PKZe61+wFgwVZtQ55ZQ+NRYhN0c93nbc7CvYktaL9OSB1FwXctoJfC8Hjf9uhzS4ym4gSpPt4WHeot3lqw9ZjyI+sauAPQpH6sOZSLrU9XLOoqsQmqfGvZS19koqTMoVrcll9sxfS1R1VBiEMEtp8tReqzd2tO608d1BGLUo+rXt+BswX4c8/WWHfkIniWUQWJFQsgyys0CECR1XP9cG/16125B8f+hlIOCXjtm5N461HnehG5vXt+sdXvx6pJeBaYNyIRkICHPzxY3cNRcCyD/h2bYvvx31SXj+3TVncm25V8wCrnQbsH4a7fE3m/CEB3UeQ3Pzu7dXIMAxPPwCFIEEXJr/QgE8vCxHN4ekCcKsj25X7yWg5NIyALh8TYaMNcdxNXubQtQkjtQMF3LeFPS3oSenpdF92DTqM28bkFpdiTnacK3J/6Q5zubUtsAs7llyi3tToE3UZTi1KPIyKMV2bAcwtKy3O21VgGSuDtuuiz2OrQ3BYAVpevPZCDeNfXGBNpQXS4GWaOU7oQur5G9202Peea8RsaBFszf8W4s/lK4A0Y5xrXFqIIZOQUYM2hi9U9FBVBlLD9+G/gGOCBHq1RYnXAYmLx+1tvwpaMi8grtqFfXFM0jjCr9mnZl4vwVdavOJJzDd+euAILz8EuOs/m9Lq5CT7aew5rD+fAxLGwC84zR1sm90N6zjU0bmDC1p9+wYYjlzTBtSBJEHS6UPpCXpPxSK+2WLbjpM81vl3XcrifSZJTBY22P0Gqm6mEoSxHSkhN5nPw/eWXX+Lnn3/GpEmTsGPHDgwbNiyY4yI6aOFNzeUpsPbUvc4uiqq8T/n+y3dmw31+1+i2RvPA8zYfU0oRtm4crluqUpSAzIuFeOj9/TCxLErtDjAMU96NzzuHICqL01o3Djd8jXqBhKf0g2B56P0DeG5QRzzSqy0A5+fW6+YmeOL3HfDB7jNgAU1ubk0mAjUu8HYlSBUHbACw9sdLqutZBuBZZyfMdk3Ckf3bDdX1jvJ8bvfgVO5q+dKGTHCMc6Zdbwa5KswswHKsak3G3OREw46bsggLp1nLodctU77OKNe9ru3rQ12OlJCazKfg+/3338fevXvx66+/4q9//SuWL1+O8+fP46mnngr2+AipFXwJOo1aVpfYBE3gbuZYTLy7A976NtuH2+oHHiaOUYL/mEgLlozugufdcr7HdY3C/C1ZsDokVTBvF3xbxOYQnYvTOAYwlZdc8xRouIprHoWxfdrik/2+pZ4EgiABr35zEq9vPwlJcgZtdlFS6nObORY8K0KSnCXkblSmlSHxmShByaN2D7x9JUiAEODAO9zEYcGIBPTv3Ey17Y7p3Q5gnAe2PFueDiUBDcw87KKIWUPjlXQSX2rvuz6ur7nutZEvZwYJqU98Cr63bt2Kzz//HA8++CAaN26MNWvW4KGHHqLgm5ByRoG1+w9L37imWDo6CXnFVvSLa4q45lHIL7bqBu6P9GqLR3q11ZyWtzrUgTHDAM8OjMMbO7JVl7tXwXHNywYYJLRqiKVf7PdYrq2BmcOYXm2xct85j4vWBAkQyut7750xQFVmzVMll1Hd26BxuBlvfXcaZha4UcnUAH/JL0WukS//7bqgzpfGKlUVaWZQbKvNWed1kwRJE3jLxvRqh3sTWqjWZ/gSNHs7c1mXz2z6cmaQkPrEp+Cb53mYzWbl74YNG4LnKV2cEFfeZrf0qo3868GuSO4a6zFwl/8rn7ZlWXUbRVECbrkpEgvvT/RawlDunAc4g991P+uX66t4bAmTfn8Lbm4a4VNetPyD6q3Bj2uFFrlToSPwFeOqpCqhN886zwrIM+pGnS8p8K5ZLDwLhoHXtA/3QJkCSM/8SUcjpD7wKYJu2bIlvv32WzAMA5vNhhUrViA2lnK1CHFnNHtlVG1k2toM9I1r6jVwd95fv6mIXZCUGWfXGTlvAYHc0tvmlgsud4t0PQiQ81Jnb8z02LDGlx9Uf1p21zY846ysIhdn4TgWn/3fHTDxHA6eycfir46jBlU1DCiecdauFkUJZp6DzS6ghh1Pqdx9awxmD0tQase3ig7XVP0hgeHrmUFC6gufgu9Zs2Zh+vTpOHHiBLp27YqkpCQsXbo02GMjpM4wqjbCMawqL9vox2jVwQse00NYhkHWpULc3VH/VLme1o3DnbWMVeMBXn8oCQ3DTZoylnJeatal6/hk31lVGTnXnG9fgn5PTaNqM/cmoDzLIPNSITrcFIVRPVrjSpEVH+45W23jC6aPxt2OhFbRAJyfcWGpDX/56IcaV8qRZxmsntBLqXrjrfShJ+7lQetqznYgUMUuQir4FHw3b94c//73v1FaWgpBEBAZWbOaORBS0xlVGxEk32aK39qZ7fE2N2wCJnxyCEtGJ/lVQYBxCxYFCZix7ifDlu7OtJWbcHfHm5TOlDfHNICJ55Ta4966WnpqGlXbuVdKuWETMHfzzwCcqSiP921fDaMKLhMLvPpgVyWdCYCyPoFlAaEGfdQmjsGrDySpyk26l7/zVg5Pvj7zYqHS0VKuEhTGc1TJw4O6nNdOiD88Bt/Lly/3eOfJkycHdDCE1FVG1UbkLpUyvR/+3IJSmDnWaxdGq0Pyq4JAbkEpzDpt40tsFS3dPT1WXPMoZdbQnzJiMZEWzBoa77VkW13jEIH3d9e9We9He7dDfMuGyt/5xVZ8sPsMPth1xmOKUjC5d9dkALz5cFf0ucXZcVJu3uNeX//BHq2x+ocLYMBCgoilD3RVbcfvfXcaS78+ARPLKJVw1FWCKhpLxbdsGJA0FqqNHTr0XpNQ8Rh8FxQUAADOnDmDs2fPYtCgQeB5Hjt27ECnTp1CMkBC6gq9aiPuref1Alh/Zor9qSDQunE4HB7ac/v6WJUpI5YYG40IM4uS2lRUm+j6eN95fLzvPB7s2RpNIsx4/7sz1Z5Q1K1tNH68UKj8LQH4cPdZFJY6MH9LFlimvNulJEGQKgLoio6rzr+fXZ2ubMfTP0/HmsPOmuq+tKsfsmx3eZOgys+EU23s0KH3moSSx+B71qxZAICxY8di/fr1aNKkCQDgiSeewJNPPhn80RFSx7hWG3HlLYBdPKoLXvg8w2sjEX8qCMREWvBkz2i8+2MROJZBiVW9PM7Xx9LL4WYZBvtP56FhuAl6BxqtG4f7FMD4akRSS9wT3wLPfXakzi5orOnWuDTTqU4jurbExvRfNJen5xYiPVcOyH3b9iQA63/MRcvocCXw9oW8mNjmMhPub01rqo1deXoz2J5mtem9JqHmU873b7/9pgTegLPUYH5+ftAGRUh9460ObnLXWMS3bIghb+6BzSW6NHEMWAYwc1ylKgjc1TYcj91zO1YdvIA3tp9U0gRMHOP1seQfswgzhzK3OoE3bAIm/y9d+ZsB8Jc72+HpAbcqeZ9zhidUOvWEZ+GcVSxvMT6mdzsAQGGpvd6ls9RnXWKj8PG4XigosSE95xq6tmmE9JxrusF3ZS3cdhy8zmJpPWaOBRiAkSTVYmaOYbDz+BXD2uF6qDZ25ejNYEuAx1lteq9JqPkUfHfq1AkzZ87EiBEjIEkS1q5di6SkpGCPjZB6w5c6uHHNo7B0tLZcVyAqCLz9bbYqP5dlnA2BjLj+wNkE0esstgRg5b7z+Pe+83jjz8482jG926HE6sCi1ON+j3f1hN6qRZ7Zl4vww7mrOJdfggn92uPjfWdpBryOs/AsFtzXRTmYq0rVEm/c10UYsQsiPhzbA0/974iqsHuJTcDczVn4x8ZMn9MZKlsbuz7nLevNYE9bexSApOri6z6rTXXISaj5FHz/85//xLJly7Bw4UIAwN13342nn346qAMjpD7xpQ5u9uUi2Bwi3nq4Gwpu2NG1TSMl4KjKj6zerI+Z45B16Tqiw01KgOtaDcL9B85XEpx5tI0amJHQqiEm/v4WXLpWipX7z/v8GGP7tEXP9jFYdeA85m0+BlESNYF297bRyLx43WuaDqm9JEnSDY7imkdhbJ+2+GT/BZ17BXlMACat+hG92jfBnmz12WG5mZReOkN+sRVZlwpxvdSOhuFmJU3L39rYzu9EFkwca1ixqC4zKmPKui3BdZ/Vdn2vOZaBXZAwa1h8vTt4IaHjU/AdGRmJF198MdhjIaRe81QHd/aGn1wWgznTLniODciPq96szw2bA//37x/AQIJNcM4ySgBeuKcjmkSYfT4Nr0cCMOHf34NhneN/euCt+Pf+8z5l4b5yfyLuSWiB5/53BBsyLhne7scLhfjz7bFY/YPvebqkdpmTnGAYHM0fcRvaNm6Af27z/6xKVdkFSRN4u+JYRhX4uXe+BZx1858b1BGP9GqLvTMG+DSTverAeSXlyib4VrGortHbl+lVidKb1U7uGouiMody8LJgyzFEWfh6dfBCQsen4Hv48OG6l2/evDmggyGkvtOrg5t9uUgVeAPOsnUOUQzIj6v7DNsNmwOCBAguwYD8A7Yo9ThMDGCv4oSyVQAgiJi2NgOr/q8Xht7WHFt+uuz1fp8cOI+ZX2T6FKjzLAczB9hqcptF4jOeBUwcC4coYe7wBGfXVQ/ySmy6lzNw1iavrkI7JVYBX2b+ogR/7p1vAWfGyqvfnMTyndlYMtr7AXZ+sRXzthzTXM4xTJ3JW/YlnUbel00z6AYcYeaUMwJ6iy4XbD0GmyApBy8vfJ6B+JYNg5rSROonnztcyux2O7Zu3Yo2bdoEbVCEkArpOdcMrwvUoqC+cU3x/mM9cL3Ugalr0lWBt7uqBt6urA4Jo9874PPtj/1S5PNtVx28UOO6K5LKMXEMUp+5y2PdbPdukx8ZdBKVUH2Bt+yd787gwz1nMb5fe93OtzKrw7cDbGcvAAY2h/pyu1A38pb9KQOY3DUWjRqYMOm/P+KGy5F3hIXDvOEJhotecwtKwTHqz8ImSBjy5h4s9eEAyFVNz7uv6eOrD3wKvu+44w7V33feeSf+/Oc/44knngjKoAipz+TOkXJOd9c2jQxvG4hFQa4/bFZH9U8TswD63RqDfafzq7RokgLvusHMsXh6QBwaR5jROMIZJMn2n85HXnEZbA4J/9p+UgnOnvpDHHiWVWYwayK7IOGd7854TeFiGQZZlwp1S5TKWjcO110UOme4cWpObVGZMoAJraIhuvUwEETJY7WZzIuFSoMxVzYfD4Dksa46eAFv7TylqkBVk1JXqJ55zeBT8O2uoKAAV65cCfRYCKn33HO7x/Zpi/kjbtMsIHPN+fb3x9V1cdeZC6VYfshZP9zfxZPBIgLYdSq0pUx5BuA4RvdUdaB1iAnH+aul1db9sSZh4NyWGYaBTZDAl3dcNbHOBXK9b4nBgdP5ePe703hjx0mlhXuZQ9CtsCNvw8t3noIjwG8wxzIQfKx64g9JkmDiGMOKQTdsAiZ8cghLRicpQZL7zKXegsE5w+O9pubUBkZlAOUF4XqztxXpJ0eVz83TvlJOOTHiyxnGjekXMX3tUSVFz+pQ13iXX0t1zjZTPfOao1I535cuXcKDDz4YlAERUl/p5XZ/sv8Cxva+2RmA974Z6TnXcHNMA5h4rlI7cb3FXe5YoNJhuIUrz+euZabc0xH9br0JB8/mY5HBIr0GJgY3ApBzcybfOXN7e7tGGNW9NSLDTGgYzuPD785g1+n61T+BY4G5yYnIKbiBD3efAcs4tz9BlMAxwO7ygzC7MiNZ0cLdE1GQ4KF5a6UEI/AGgDAzh3fG9AAg4XqpHVmXruOjvedUCwWtDknJP8765bruzKWnBdu1md4iylK7AxM+OQQzZzx7K8F5YCOIgCiKOJ9/A/nFVsOUE0+8nWGUg1q9xZ0mlsWqgxfw9rfZ1T7bTPXMaw6/c74ZhkGTJk1wyy23BG1QhNRHRrndX2X9qqShjO5ZubUWztnu67qLu9xVZf67NgbeAPD69pNo06QBJt59CyABS74+ARPHwu4Q0KNdY/z59jZYf+QSdp3KC9hz/nD+Gg6fv4a/D+6MYUm34PC5At3gW10krfo92qst1hzKqVQZx94dGuPQuQIlncghArM2ZLpscxWPWZVYN5DrEoLN7hDQKjoMJTYBraLD0aZJBBJaNcT0tT/hhr3iC2UTJAx+YzckSHCI0J251FuwXdu5Lwi3CQIEUYLVISrB7rS1R5XypXI51IpJBufGoLeAVT6DYHcISldSPQ/2bO01516vxCEA2AQRb+085bHOeKhQPfOaw6fge8OGDVi0aJHqsmeeeQbLli3z+wkPHTqERYsWwW63IzY2FikpKYiOjsbIkSMhlOfnlZWVIScnB7t27ULTpupGH4sWLcLevXvBMAwmTZqEYcOG+T0GQmoio9zuJV+fVP4tp6H4Q87xY8HozswQwC4664//eL4A//vhgnNGTRAxNzkRkWG86nRyIIlwVpDZcvQijl7UX0zavW00Dl8o1L0u2NwD/97tG+Of99+GtjENNGcIPKVOyA6cKdBcVtu2yJeGdEbKlyd8brzjjUME7n1jF3iORZldhIVjAEb/4MOuc2FNmbl0T4WpzKI+o/u4zup/mfkL3vnujOp+VoeISf85DBHO9JJGDUy626LrAtY92XmqtS48C8M1JmsO5eLZgR0NX4deUAsAFp7B5P5xeH/XGSUNBai+z6wyteNJcHgMvufMmYPLly/j8OHDuHr1qnK5w+FATk5OpZ5w5syZeOeddxAXF4elS5dixYoVmDp1KtavX6/cZvr06bj//vs1gff+/ftx9OhRbNq0CQUFBRg8eDAGDhyI8HA6aiO1ny/NQeQ0FF9LX7nm+NUWJo6BiWNVlQpCQQKUZj9WOJ97/pYsIAQHLUaBt4VjQh54R1l42EURs4bGIzE2GnlFZcjILcTdtzZFz/Yx2Jh+EUu/OqG5n7fAu67o1CIK/3owCc97Sd/ylSg5/+coD97ktvQc4+w06y3Gd5259Dfgda8Q4y/5/pkXC7Fg6zEloHuwR2t8dihXybf2pVyit4WA8utZYVDFRj5LMH3dUSwd7bkDd9al6341CvMWLGtn50VM7h+HR3q1BQC89W226vbVOdtcV9OTahuPwffo0aNx6tQpnDhxAn/605+UyzmOQ9euXSv1hNu2bYPJZILdbsfly5fRqVMn1fX79+/H8ePH8fLLL2vuKwgCrFYrHA4HSktLYTabKzUGQmoq19zuy9fLVLPesvScaz4H355Oh1Y3vdxyngVSn7kLlwpL8fjKH6q9RbwkATxX+YZCVRXqgHbF2B5oGhWm+VEeGN8CQMXBXH3tHGriGCS0ikZMpAV945rizR2ndLuzVmXdhEyQnM8n6rzXJg4I43nVzKVe8CoHWXKXWtdutXuy8zB9bQY4hoUgiXiiR0P06OH7+OTn41lG6d4p72fc1648/3mGbldP18Dfl4WAuQWlXqvYmFgWDcN5w5nsMruI66V2v/aLvgTLnoLamjbbXBfTk2obj8H3bbfdhttuuw19+/ZF8+bNA/KEJpMJJ06cwLhx48DzPKZOnaq6ftmyZZgyZQo4jtPct1+/flizZg3uvvtu3LhxAy+88ILfs96ZmZlVGn9dcvjw4eoeAjHQngF4Rn9hGV90CYcP+1ZtqNAqqk53As4GI0/fEa3kE7xxsBC+zDGHccCAm8Ox7bTnxUk8A7As8FB8BE5ftePARRsqMi+d+rUxY3jHKGReKcOnmSXgGOf1T90ejcLck3BYxYAvmKsMmyBBkqo+A98qArhU4v/9Qn3skXUiG33bhuPcFeCczvXZV+1gdE6vV7dg5cU/8LsG+OL4DcjVAJ/s2RDnTmQq783w1oC5exQ+Si8Czzg/r78mReGWxmZcKxOQdcWGLdk3Kp2/bnTw9ef4CCQ2C8NNERyihV+Rtu8Spm29AptQEQBP+Swd5UVjYJecM+mCBJi58stE+T1zbt9vfl+ILs1/QLSF9TquQquoPJ+vr2PDd4fRtYUz4Nt9oRRvHyoEzzBwSBJGdY4A6/aFZyQJ2/cfQVwTk+p57V7KR1odDjjyzuPxrlF4/0ftGSWeAS7nnkOZ3fvCXcC5v5zUPUr1uXvj/v2JBfD24Kb4rURQPrPDh3/18dFCi+KC0PAYfD/77LN44403MH78eN3rPXW4TE1N1cxed+jQAStXrkSnTp2wb98+rF69GlOmTMHq1asBAKdOnUJBQQH69++v+5ifffYZOI7Dnj17cO3aNYwdOxZJSUl+zcInJibCYqEjvsOHD6OHP9McJOR6APjx+k+qNJSxfdrivv7+5XwvbXBRM+sin849fPgwbm7fHlPXpHufZWZZLHi4L9rtOYN3vj2je5NnB8ZhQOfmqpkf10VN5/JvKPXLAeAhAM/pnCrPyLmGBuarKLL69gMZLBaOweQBt+Kt8koFNkHEqO6xGNktFs99dgS516xeH6N3+8b44bw217kmWvbDdcS0bIN7E1toPpP8Yiu27z6DUqHmVWQJRuAdbuIwvE8C/j4q2uMp+h49gL8NMU73GJR+UVXybnL/ODSJNGPBFmeaRplDgCRJYBjvOfOyNT/fwHMj+ijPtSXjIkRJfUAuSFCVs5T/bRQwCxJwI6IVkm7xnpKQkXMNFv4qbD5UnpHdeuut6NHxJmRfLsLb63fDJgC28k9u/QntAb3EMBjUp5tmDK82uKjaX3EsAwYSwk0VZwIGdI1FTM41rMo8oKndzbIM7vt9D9wIu4BXv1GfWQwzsRBFCRaeU6WO1JdZYooLAsdqtXqc7GUkyXh+KTMzE4mJifj+++91r3dvvuPLYHbv3o1BgwYBAG7cuIG+ffviyJEjAIB33nkHdrsdzzzzjO79J06ciIcfflgJzlNSUhATE2N4cOD+3PLroeCbvmS1iXvTncowygWVtwO5Gsr+M3n4aM9Z8CyLMrsAhoHqRy25ayzyi62485U0TR70i0M6O6uFBEB+sRV3LNxe7bWww0ws9s4YAEC/Ru+OY7/ig91ncfh8AcJMHGyCgIdvbwuWcVY5uK9rLEw8hwff3afk8tYGPMsg3ORsEjJrWDzyi21Ytv0kQlAGvUbhWeDRXu0w4HfNlHQTmXvahN724enA0/X+BSU2DFm22+d0HjPH4PNJdyKpTSNNb4Cq4Bjofufd5Rdb0TclTbOWJMLMwSGKsAuSarafZ4GDLw7Cnuw8TPs8Q/M6oyw8Jt7dQTnI9VaOT95fARISWkUD0L7/RmNceF8ixvRup7sfCzOx2DK5n8dOqnUZxQWB4y3m9DjznZiYCMC42om/wTfP85g3bx5atGiBxMREpKamonv37sr16enp+Mtf/mJ4/86dO2P79u3o378/bty4gQMHDmDGjBl+jYGQ2iaueVSlg26Ztxy/mEgL7u54E+7ueBPG9+vgMaiIibRgyWj/Gnr4uxDsy8xfQxZ4W3gWMwd3RtNIc3mN5bOq7nSur9vdwPgWGBjfwuPryy+21sCMe88coqScdXjpi/qbqucQnYtwV+4/D5YB/n5vZ0z8/S2q/OpSu0Np/uMaNMpNVyTJeSBm4RgwLKNc7/qdzC0ohYnzvSOnTZAQYeZ0ewNUhVyZT/7sjUri6VXNmDUsHomtotG6cTj2Zudhmks++ZLyBZBGPQasgojBiS3wSK+2Pu0n5P2V+2VGY9TbT7nux1wD/qruawnxRUirnXAch9deew2zZ8+GIAho3rw5Fi5cqFyfk5OjyS3fsWMH0tLSsHDhQkyaNAnz5s3D4MGDwXEcRo8ejd69e/s9DkKIMfdAXe9H0J8V86sOnMe8zVkwcSwESfLaYCK/2Ip5m7Oq9iL8NDypFWIiLRiWFIvxd3XwuxKAp4ObmEgL5iYn1Osgti4QJWdZyMxLhfj62GW3ShkVzX+mrzuK+JYNNYGmtTwPRC+gbd04HHZB/xCtW+toHMlVV7yxcAxKbAJOXdavkhMokigZVvlw3QfIM/sRZk5ZjPrB2Nshz0zHRFqw6+QV47QaScKQZbsxZ3gCxvT2ryunpwNfb/spqvxBqkvIq5307NlTVVbQ1bZt2zSXDRw4EAMHDgQANGjQACkpKZV6XkJIYPmyYn7VgfN4aYMz6JRn9V7QqXzgyt9ZwKqaPTxec7AR6B/hMb3aARKU94LUXpsyfoGFN16UyMDZGMso0NQrWxcTacGc4Qma7cPEMcj65br2OVjGGbA7KvcdsfCMUsnnhs34vIy1fIbdSEykBW9sP6mafb8rLgY/nC/QSR8xrhokp6G8tCETYODxLJorb+UJ5TF6m0UHKrpcUgBOQsGnaiccx2HEiBGq6zZs2IC2bdsGdXCEkNpHzse8WHADczZpZ7BtgoQZazPw4V/109ZaNw6HEMJSJ20aNwjJ84zp3Q73JrbA4i+PY+3hi+BYub5zYF+rXNWC+K59TDgamHlk/eLbTLKnuu+ldlG3RKjMqGzdmN7tAAaYt/kYTBwDhyBBEEW4l+i38M7UFblJjFFJPY5xLi7UOwhgGAar/u8OnMu/gaslNvxr+0lIoqjpUBtmYjULFl3ppb3sznYuyHUvGdgqOszwcVzN23wM9ya08BoEu/Yw8LVzpDxL7l5y0VsAT0igeQy+09LS4HA48Oabb6JBgwaQ12bKl913332hGCMhpJbYmH4Rz/tQOWX78d/w/q7TmHj3LZrTxq65miyAG0FvEBTaSHVD+kUIkgR5Yt+XzpDeMAAiLRWL5IrKHPjHhswa1Za+Jjub77l8ZqCYOWDW0HjDWdYxvdrh3gRnpZnCUjueWvWjquJPAzOHdx/tjoRW0bqLCV05FwDrd118sEdrPPrR96p87fxLOXjzUCFcOtpDkiQUltqQX2zVDWjTc655fc3yTL9zTKzXhl8mjtGcGdBLLdHrYeCpGY48Sy6JEqyChDATC0kCBFGEQ9QeLNAMOAkmj8H3zz//jAMHDiA/Px+ffPJJxZ14Hn/961+DPTZCSC2SX2zF9LUZPjfGWfzVCUSYeVVnPHnWSc7FzLp0HX/9+PtK10n2Rm6aEgyHzubjq2OX0aFpBP6Y0AIFJTbM2ZQFq1vJELsgVbopy7DbWuC5QR3ROMKsCk5WHThPgXcNY+ZYCKKIuZuzNIszXckHoPnFVk3LclFy5lD70jzLLoiw8KyqLna4icXk/nFYlpYNq6NixnjupixAksBxrPN+HANBclYseeK/P8IuiLr52F3bNPL6um2CoMz0Cz58kQVRUp0ZMEot0WvpbhP0zyrodfo1OgiortbvpH7xGHw/9dRTeOqpp7Bq1SqMGTMmVGMiJGT8rcJBjOUWlIJjWMCnlj3OxVzzNmfBJkhKEPDC5xloFR0GE8+V/4hKAQ+8TRwDnmUhSs62175+7u6l5bIuFQJg0Co6TFWa7NDZfDzzvyO4dL2iBvhML4stKzu3v+WnX9Ek0oz5I25TXsd7353Gy6nHK/mInvVp3wQHzl6t14G9UZqHN/IstCCoF2cazbLqVRRZPKoLAKCw1KZpniWLMHMQJAmzhsZjwdZjqutK7SKWlwferuQzL3IwK4EpL5cpKcG7Xj52XPMojO3TVtWLwN3k/rcqBxOizpeZZ51pMGaehSBKqgpD3lJLFo/qguddFrYKooi92XmaAxp/Ov1WZ+t3Un94DL5lDzzwAL755huUlDhbtAmCgAsXLmDKlClBHRwhweTLYh3iO2eutu9RiSABFlbd9MMmSBj93gHllPDvWkQGdIwWnsUHY3siOtzk1wGXe2k5CYxqFs+5Jo1BmybhOP3bjYCO2ZtP9l/A2N43I655FFYdOB+0wBsAHrq9NX7MueYx57kuM3EM5g5PwNzNWVVOFQK8z7K6V+PYk52HvilpMLEsREnb1zPCwmHe8AT079wMMZEWRIXxSqm9kvKE7lIfPjueY+D8KqsfXy8fe/6I2zC2983Yk52HRdt+VtXwtvAsHunlXBuWW1AKi4nDDbcccjPH4d3HuiM63Kz5TjrbyasXarq+Z33jmsL1aoeof0DTunG4bgoO4PxMWQa65UUJCRafgu8pU6YgJycHv/32G+Lj45GRkeF3jW9C9FTXzHNlFusQz5x1c5Mw5bN0nxf8ldr1byifEk7P1VZ6qAqrQ0RCq4Z+fcZ624p7UOKMJ6SQB96y9JxraBxhxpyNwa2m8tr2U/DQl61Oe25gHB7rc7Nz22GA2RuzvKZRsIwzH9/o++CakmHENQ1Fux2q2QUJXds0UrZvOXjfefwK5mzK0iyebGDmIIiSkvcsE0QJos6BtF4+NlDRi6BJhFkzUy/ftnXjcN33S5BEwwZGB8/ko9htFajrzHRuQSnMHKc6C6B3QLMnOw+CW4pKmMlZsWbxqC5UbpCEnE/B988//4yvv/4ac+fOxbhx4yCKIubOnRvkoZG6LpAzz/4G8f4u1iG+kX/sP9x9Bu9+d8ZrekJ1hHHPfXYErz+kbVttxJ9T1tWla5tGyC0oBcsGt9TJ+auhWZhY0zAA+ndujphICzamX8SCLccQxrOwCSJGdY9F5xZRaBRuwp7sfFwvtaPMIWL/mXyYOedtGMnZ/rzU7oAoQUmlEiXopkno0dsO5XboLMugzO58nmHL96j2pTGRFvTv3Az/0Dkw+8ud7TC+Xwd8mfUr5m7MhNnEKakfRWUOTelD93xsmbz/7RvXFHtnDNDdF8tNbVzTRHgWWDI6SXU7Z3OiDLAMg1KdvOxZw+JVAb173rd72oh80OJ6cGHmgPcf66EK+mm/T0LJp+C7WbNm4HkeN998M06ePInBgwejqCi4xf1J3RbImWdfgnj34NyXnTapnJhIC2YM/h3G39UBX2f96jXfOdR2n8rHna+kYclo3w729LaVmmRsn7aIax6F/GIrqudwpmZg4Xz1wXgHOBbIKyrDrpO/Yfrao6q0mw3plzBraDymr/sJDMNAFCWIkgRBgpIvbeYYPP/Hjkhs1RBjVnyv3N9u0HRHj9F2+On4Xnjkw4MA1I184ls2VK1FmDU0XhNMf7z3HFo3aoAFW4+BZwC7w7mwUvleuJQ+dM/HlvkziVKxkNq5XsL9LFR+sdWlWpL2k4wwc0h0WSBtlBfvnrriftBi4XlEh5sp4CbVxqfgu0GDBti8eTM6d+6MNWvWoEOHDrhxo3pOr5K6IVAzz74E8UY/Dt522qRqYiIteLhXO/z863WPC7Kqg9Uh4oXPnbNrfW6J8dqEw3VbKbU7IElMSGuR67mzQxPMH5GotMN2NmpJrBWNfDgGkKTKLzTVE8zDI4cI/N8nh6HNsgZYhnEp66i/TdgECYu/OoEym6AZp+t+z9MZPL126bOGxcPEc7DwHGxCReqFJEoY8uYeWLiKfVtibDQiLZwqjYNjGWXRc/k9sWDrMdyb6Mzrdi19qDcmXydRnLX/KwLuuzs2032fsi5d97iYVZC0M+/eulT6M9FCC/BJqPgUfM+ePRtr1qzBtGnTsHbtWjz22GN4+umngz02UocFaubZWxDv6cfBdactN10wqmcbCPV1x16xIOs3zN/8s2GQZOIYmDgWDkHEoPhm+DrrcqWqSvjKJkiY/L8j4BjgtYe6epwFd/+BB4AP95zBh7vPAnDOYFp4FgwD9O94E746djko5REZAH/o2BRP9Y9Dz/YxmuvbNKkdZ25qaxMgvWG7LyA0YnQ7uTyeLzPIyV1jUVTmwLzNWTBxLBZsOYZZw+I1+1Kr4DwHYHNU7PO2TO6naehkFySYOEa1SNJ9EsRTh0hfJlFWHTiPOZuylOfmWeBfDxp93zxvGLOGxuuOxVOXSl9mxwFagE9Cy6fg++abb8b06dMBAK+//joAoHv37njssceCNjBSt/m6Q/TGWxDv7cchJtISkg5ndWHHXpWDh4oFWRa88Hk63OMQE8cg9Zm7VKfJsy8XYdBruwL4CvQJEjB1TbrXU//uQciMe3+H8f06aDrmyQd9WZcKkfbzFazcfz5gY5UA7DyZh31n8rFkdBKSu8aquvYdOJMfsOcioTG5fxwA+DyDvGDrMdgECbbylJYFW44pZQVNLAurQ1BywGUm1tmp0n2fm5zUCmsO5arG488kiLf976oD5zVnYhwiMG1thu73LaFVtGHTqQZmDomx+jX5ve1fvc2O0wJ8Emo+Bd966uuKdxI43naIvvAWxHv7cQjFTrcu7NiVRVBg4JBEzB2eqGm44YvkrrGIb9kQH+09i7WHL4IvzyVdMrqLkj4hi2sehYX3eU6j0GtOU5n26g4ReDPtFOYmJ/p1P6NZwZhIC+7u2Ax3d2yGpwfeiv2n85BXbEOjcB5fHLmEk5eL8Ot1K/jyFvP+jtfqcOb1/lJYhiVfHncu4vPvIUgNMTixhTJj6849Dc9oMiExNlpZ6Bhh5jBs+R7V48j7vKQ2jVRn+9xvB6gXNHpjlAojH4DO25ylez9J0r42+fFefSAJL3yeoZqNB5xnDjIvFiLJrbGPr/vXqs7gExJIlQ6+GYbxfiNCvPC0Q/SVpyDePTi3CSKe+kOccn0odrq1fcd+6Gw+pqxOh9x+A3A23Mi9dgPj+3VQzfTqLaICgOzLRUjPuYarJTb8a/tJmFgWDCPhid/H4ZFebQ3fhzG92znLum3IVAJUjmUw8a726HNLDCb8+1D5KfYKlU1pWLnvPCABTw+8NaCfS0ykBcOSKmbh7uveBoD6TMLe7Dy/SjQCgChKQa3pTQLDxDFgAE0wCTgXYpbYBESYOU3HxTK7iAhnAXmFp8kE132ppwkJ+XYZOdc0+yX3BY2+0EuFibLwaBcTARPHKjP0rmyCpHltro/XN64p3kw75fxOupi35Rh6tW+iOlAPxP6VFuCTUKt08E1IIFU1H9pTEC/vzFcdvIC3dp7C+7vO4K1vs5X6rtoWxQIKS20By/+uzTv22Rt+wicH9BdLvvPtGXy05xxGdG2F9T9e1M3pzC+24h8bMpGa+avqvvIP5VvfZitNOIzIi76yLl0HICnlwbIvF2kC76pauf88Vn1/Aa8+kBT0tCDXbda1ROOHe86AA1BWHrPwDODQeZl6wRypWUwcg1cfSFI+23e+O6O6nmEYtG4cjqxL12FiAdf421IemMvkfeSsYfFYsOWYputlRs41Zf/py1lFvf2S3oJGb/RSYeQcc6NFye6vzd2e7Dx8elC737E5RAxZthtLXb6fgdi/BioNkhBfeQy+u3XrpjvDLUkSysrKgjYoUr+45+vNGhaPxFbRVV6Y6N4O/O1vs2F1SEpDhunrjmLvjAFYPKoLpq11nja12gWIEvDUqiOwCSIm9/c8M+uL2rRjl2eob45pgOwrxYaBt8zqEDU5ow4ReH5NOn4tLMPSr094DBJ9naFypnHcpLqsxCYodZQDyS5ImLY29GlBriUaXbdbOUUgNfNXLN95CjzHKt0K6yOWQVAWswZKAxMLuyBi/F0dMP6uDso2NGPw75BfYlN9X2wOEW9sP4nPDuXCvaQ1wzLKNqDZRw6NR2JstKbrpWu+s7eziu77JavDUan9kt7MMwsGlwrLyvetGbC6HT26vjZ3chqJ0X7D5laeMVD710CkQRLiK4/B95YtW0I1DlJP6eXrvfRFJiLMHARJUi2c8Wd2XP6x4lnnSv7/63uz4alJuUSYJDpTFgRBgr28bNer35zE8p2nlMVtlVUbduyeZrn9ZReBRT6kRFTlDEDrxuEIVvYbx+p38gsF96BJ/vfTzaPwSK+25d0KM1Fiq39Z3ixqTuBt4VmIkqRaHGjhWcwfkai0d3eVX2zFxvRLqsskQPc7Z+EZJYDU20cu2HoMe2cMAODbQk0jrvul/JxTGFCJfZzezPMNu4AJnxzCktFdsO/vAzFrQya2uZz9erBna7/yr925H7T3jWuK9x/rAaO0N19/OwKRBkmILzwG37GxtasaA6l9jHa08ilJ+YdkT3Yepq/NAMewECTRYzDs+mMlcz/dCwA3bA5EmDnMWHe0fGZG/1ddXtxW1ZnQmrxjz75cFLDA2xcNzCxECVU6AxATqe2Yp1eHGQDCTc6FnQktG+KIDy3rjTr5VbeYSLlbYWAft31MOJ7/Y2e0aGhB5qXrOJdfosm3DZVW0RZcLXF2iXRXnYcb7ot7JUmE3e0EhNUhqtq7u8otKAXHej9aDDexmHFvZ/SNa6rcT2/iIOtSIa5ct4J3e0yOZbDz+BXdAwA98n7p8BXW622N7q83w211iJi29ii2Pt0PaSeuqO7z6fc5SO7SSrdcpi9NrVwP2r1VOqkLlaZI3UM530TF0wxBMOpUe9vRyj8yFV3PnL92nkrD5RaUan6Q9AgSsO7HXJ9ah9emBZKVkZ5zLWTP9WDP1hjTq11AtiO9jnlfZv6qLP4SJEl1ij4m0oJVB89j3uZjYCGhTCeZ2sQxWDK6ZqYFARXBzvOfp2uCv8o6m1+KhuE82t8UqQRETw+4Fd9k/YpD5wvQrKEFI7u1BgCsP5KLt7/VHswGyqVCbUBZE7CsMwAPN/Gwi86F28vTTqnWHZg5Buk519A4Qts9sXXjcAg+TNuX2kUs+eoEXvnyuOG6lDKHc2aZLy8h6KrEKmDOpiz8Y2NmyALN5K6xaNTAhEn//VFVz9zqEPHx3nOafaxDkDD6vQMY26ct5o+4TfVY8vY9VdnnO1ONGAANzLwqrcRbpZO6UGmqJqmvvSqCgYJvovA0QxCs2QP3UlXuuayldgeulzo0zVYcorMbmnsecH6xFYWldqW5hDcf7D7j02xUbVkgWVld3cp3VQZX/ja6p2pGmDnYBREP9GiDcX1v1pQUrCq5rJ9sTO92uDfRuCufa9e+zIuFWLD1GDiGgc0haPJ0ayq5ZOOf3tjtU0Dni7/95zAkQAn4cgtKEdcsEvklNsjnExpHmPGnhJaIbdxAVYEm0NybwdQEDtGZVvLWmO5IaNUQgHPBsOubYBMkw8BX70wNzwKP9GqLNYdyVfs/OaCetjYD+/4+UFOxSRBFWAXAior9ZQMzpwS+7mcOQ7E9J7SK1t0WPz98AQyjP6v+yf4LGNv7ZjSOMKu+r33jmoJjWTjKDzrkh320d1vV99NbpZPaXmmqJqEzCIFFwTcB4LlWKlC1vEJvnPl6PXG91IYpazJUOZTOBb9GP8Tqy113Dr4GJCaWxZP94/DWt9mqxUxXS2xYvvMUzBxXoxdIBkpc8yiM7dPWpzbwenW0hya2wPz7ErE3O0+18ClQi2f95ctis5hIC5LaNPIYqNdkcc2jMH9EAl76IjDt5EvL07SeW50OhgXgVn98ydenwDEMzDwDQQRmDO6MVtHhOJ9fgnYxEejcIgrrfszVTfEKpQgLB0GU0Ll5FNJzCwP62GaORXS4SdlOHuzZWvOd8RT46p2piYm04NmBHctz+bNUM9lWh4RPD17A0wNvVQ6ICkvteGrVjyiyVrSTb2BmMbxLS2w5ekm1FiBYgabeDGhMpAWT+8fh1W9Oqm5r4XlMvLsD3kg7BYfO0dpHe89h/ZFcVVDnLFPIwOUlAgBW7DmL8Xd1UP7WO3Mqdww1ur6uT6QEA51BCDwKvgkAzzMI8r/9nT3w5RSVa8BsdWjPoXMsg4bhJk3XMxPHIMGlHq3ezoFjAIaBxxblIiQ80qstHunVVjNWvcvqMrkNfHrONeQU3MCyHdmqw5sHe7bGjHs7K9U3jv96HXnFNvSLa6rMZteGhaXuanIuvjeJraIRYWYDuvhSVP5PS5AklNqdW8WibcedaRgui6NPXSkO2Dgqg2OASXffgsGJLTBk2e6AP757gy73Sj+ujPaR7mdq5Mv6d26Glzb8pHmc5TsrynEWltpxvdSuqZ19wyZic8Yl3HArmWJ1OGuIBzJdwNMM6CO92mL5zlOq3G+7KOKRXm3Rp0MTjH7vgObx1h6+AJsAVVC3ZXI/3WonJq7iPXUtvTh3U5by+yCIIvZm5ykVX9wPkDwt9iT66AxC4FHwTQB4nyHwd/ZA6YjIMHCIEuYmJ2BML3VHRL2A2V2ZXUSr6HDMTU7AvE1Z4FhnhQH3nNzcglJwbqUvGph5vDzyNkxdk667I+dZYMnoJNXMjStvQZl7KcPaFHAakdvAA8DYPjcrnRldA2z59Rmlj9TmYLa2cX5vq+/5RVTM9Lrm6FYXQXIGqzdsjoDUQWcZ537CwvM+NehyVZla04/3ba85c2DmWKw6eAHLdpxU3l+OZZzjMnFKqopr4G3mnFWeWJbB4GW7IUmSkqtelXQBbzOgztSaJMOyf0MTW2CrS9WToYktsOtUHmxCxRS3qTyPfc7weM1ZHbkOuesBgE0QVB23HaL6rK37AdKaQ7l4dmBH2kf5gc4gBB4F3wSA91rUnq5zn1XJL7a6LJAs74j4RSZKyhyY+PtblOfMunQdLDznW1s4Btsyf8Xb32bDxDnr584ZnqD58ci8WKhZeGQXRfS5JQZLH0hyyZcU8Hjf9uhzS1PdklSeuL7OPdl5ys6/1O4AwzAI47k6lQsXE6nuzEhqnphIi26QUh2qO/CWWR0i3ttV9dQXjgFee6irpkHX8p2n8Hjf9khoFa3bvVFOe/E3VW1j+kV8tPec5nKbIGJ52knV+yuIEiw8i2l/7IQlX51Q7fsamFjYy9PuXCs+yWkqVUkX0Dvg4Bh1dRXXs18RZg4lNgGrDpzHgq3OxkBmjlHWfzSOMKNvSprqOeSgLqlNI0CCavG03FDI26RNVc/aErXa1Kuitgh58H3o0CEsWrQIdrsdsbGxSElJQXR0NEaOHAmhfEdWVlaGnJwc7Nq1C02bNlXue+PGDcyZMwdZWVkICwvD5MmTMWDAgFC/hDrLU8qA0XV6pyAbNTDr/hAvSj2OiDAeY3q1K58ZPwqrt19shsFbbqcxF2w9hnsTW6iC/wVbj2nuOmtovObHoLIz0+4zLaLkbMZSsVOvqA1OuXAklMb0aqcEKZIowV7z1iqGXFXXazIA5o9IVLq0ujfokmen5RloeVbZvbKON65NrZwlT9X7QwvPYHL/OLzz7WlNoO9cJy4pixJldlGEhedg1zkwAKoWfOrNgJbYBMzdrF5kGhNpUSYoeJZBcfnsvLy/XHckF1P/2NFrUKe3eDoj55rXClWeztraBIFmbCuhNqYU1mQhD75nzpyJd955B3FxcVi6dClWrFiBqVOnYv369cptpk+fjvvvv18VeAPAe++9B57nsWXLFhQWFuLPf/4zEhIS0Lx581C/jDrLU8qA+3V6pyBfWHsU84bHGz7+vE3H0OvmJro/NK4amDmIkoSn/hCH93edUX70AO2Ph95sTISFQ2JsRU54VVIhfEmPcUUzKyTUXIMUebbxv/vP4vMfL3m/M9GQAMzfckx5T42CPXkGWq6A4st3Xj6DturgeVVKBOd2EtDMsfhgbA8ktIrG8p2nNI/jLEl4EqKkrm8vSfC4b61KuoCqOhVT0SJeDq71Funrcd1Hegvq3PfdegcAPAtwLAszp3/W1jUlSpSg5IQT/1BKYeCEPPjetm0bTCYT7HY7Ll++jE6dOqmu379/P44fP46XX35Zc9+ff/4ZjzzyCFiWRePGjdG5c2fs3r0bo0ePDtXwiQu9HyWbQ8TsTZmGLaA51llT2tPMhYVn8O6j3ZUFlW99m6263v3HQ29nHMgmKb50XPM0PkJCwf2H8Vx+M2w6+oumtTfxjdUh4tODF/BIr7YeexFwLKOqgOKJfAaNBTSLI91T1G2Cc72LnEetl1PvnmoHONN/eNZ5UGDmWJQ5BE3Od1UCKDlY3nn8CuZuzlICb8Bzuocr932kP0Gd0Wy5UQDvXrbQLgSmaRohVRHy4NtkMuHEiRMYN24ceJ7H1KlTVdcvW7YMU6ZMAcdxmvvGx8fjyy+/RL9+/ZCfn48ff/wRv/vd7/x6/szM6s+NrCkOHz5cpfsXWkXVjLTMLjibUehxOETwRZd07xfGORdwPdGjISKKcnDuRA4AYFL3KLx9qBAcw0CQJEzqHoVzJzJxzuW+vtymsvReJ8eU/6+8fT3DACY2OM/9W4mAmyI4RFu076q3631R1e2A1DyFVhHTtl6BTmxG/PD6NyeREH4Nk7pH4a0fCnUXtzocAvJzTnntEOnvZ2JigMNHs1DYxIRYAO8Pa4azBXZcKnLg3+lF0O5BXe7LMnihj8uZvwYcrA7JuZ8QfsXhw7/q3s+ffUETmwibW4Uqq8OB/JxTyr/dyfv4yuwjXfd1sRYWbw9uWrHvE37FuRPO13TuClSPm33VDs6tLC0jSdi+/wjimpj8GEH9QL8HoRG04Ds1NVUze92hQwesXLkSnTp1wr59+7B69WpMmTIFq1evBgCcOnUKBQUF6N+/v+5j/u1vf8PLL7+M+++/H+3bt0e/fv1gMvn35UlMTITFQke7hw8fRo8ePar8OEsbXMQLa49qmtpEWHg82rst3vvujHrug2XANm6NpQ+09rkedI8ewGP3WFWn1N1v53qbYOSjLW1w0eNMCwCP46uMjekXMSPVS9tkD9f7IlDbAalZMnKuwcTl6y4IJPr0OgoIALJKG+G5+2/FY/dY8enBC3h9+0llltrEMVj6QBIG+PC9y8i5Bgt/VVXZwxOOZzGoTzcAzn1LUuNwDIi0IPtyEVak7/J4XxEMhMjmWPrNSZg5Z8WpxaO6aMbpuoj83IlMv/cFevtF+Tncr6tKzX/dfd2dvu3rbi62Ys6uNLh+uhLDYFCfbjTz7YZ+DwLHarV6nOxlJNcaPSEYzO7duzFo0CAAzgWUffv2xZEjRwAA77zzDux2O5555hnd+1+5cgUmkwmNGzcGAEycOBEPPPAA7rnnHp+eOzMzk4LvcoH8kmVfLsKQZbtVpb3CTCz2zhiAghIbhizbA5sgaq4D/CvPV90dtrzVyg3k+PKLreibkqbKmZTfN7mijKfrfUU727opv9iK3ou2V2sZwtqCATC+X3t8sOes7vUWnsW+v1d8r/KLrci6dB2AhIRW0T5/3/S+s0YsPIslo7tAAjT7lHYxEXjo/f0+PY4r9/2D+/5qUvcoPHd/P78eU35dRvvFQNQXD8S+blO69iCBcr616PcgcLzFnJU7T11JPM9j3rx5ytFAamoqunfvrlyfnp6Onj17Gt7/q6++wrJlywAAx48fx7Fjx9CnT5/gDpp4Fdc8CksfSEKYiUWUhUeYicWsYfHILSjFpcJSWHj1Zua62CapTSOfFynJC3iKrA6U2UVMX3cU+cXWYL0sDU/jDfT45DxzV675lN6uJ/VbTKQFv+/UzPsNa7jR3WPBM4A2CTFwJAD/3n/e8HqGAXYev6J8l51Ncm7C3R2bed135RdbkZFzDdmXi5SGMGEmFhEW41fUwMThg7E90Teuqe4+JcLMoTJzZhzLKPsHvf3V24cKK7W/8rRf9Gcfb8RoX5d1qRAZOdd8GnNy11jsnTEA/x3fC3tnDKDAm1S7kOZ8cxyH1157DbNnz4YgCGjevDkWLlyoXJ+Tk6OpXLJjxw6kpaVh4cKFePDBBzFt2jQMHz4cPM/j9ddfR2RkZChfAjHgumI982IhFmw5pirL56oyCxJreoetQI/PW1MDanpAPMkvtmL3qd+qexhVtvbHiyF5Ho6FM8dER5ldxIvrj4LlWK8zpnq9AOTHsHAMGJZRyhFmXizE/C1ZmgWxIiQktGqoX1ObdVYYmdz/Vk0bd2/sgqRKkdOr111T9qeu9PZ1ZQ4BEz45BDPne28FqtRBapKQL7js2bOnqqygq23btmkuGzhwIAYOHAgAsFgsysw3qXnkHZt8SlTesTs7xOmXgfJVTQ82Az0+b/VvqekB8SS3oBRmjtNd9EbUOIPKTK5sIgBRxLS1GYZVMtS9AEQIoqiqTmIVJECQsGDrMeydMQBJbRrh3sQW+PTgBSzfma27f9TU1LYKOHg2H0ltGsHCs977JLiYMzxeeVzdClFS4CpE6alsCor7vk5+b61CxaJOql5CahvqcEkCSm9GJdzE460x3REdbqp07l9NDzaDMT5v9W+p6QExohdcEX3z70tElIXH9HVH4RBEj506rQ4Jnx68gKcH3qq63J9eAK5nxGIiLXikV1tnN0e3HPKYSAtmDdN2L1207TjCOAZ2QVIa/JQ5BDgESbNgVPbi4M7OZkzlYiItmDU0XtU9clL3qKDtQzyth/ElKHfd1xWW2vHUqh+Vjp1AzToLSogvKPgmAWU0A+xvK3c9NT3YDMb4vJ0qpVOpRI98MPjC5+lUbtCDv/ZppwSlraLDMPq9A17vs3xnNh7p1Vb1vfOnF4DrGTFvi7QTW0UrFZRclZUvbhdF4NHebTH+rg4AgM0Zl5Dy5XGUuixOjLBw6NUhRnX/jekXsWDrMZh5FjZBwpzh8ejM53kde2XoHZjIM9Vyao6coji5/62a91Ym7+vyi601+iwoIb4I6YJLUvfJP/quiy8DOUMdiAU8wVTTx0fqj+SusfjwL7fDRHt5QwN+V7HGKPPSdZ/uY+a0C5v1Jh1MHAMLzyCs/AOwcIxqf+htkXZ+sRWFpTaU2T0fPa3Yc075d4ebIjUpNHLDsfxiK3ad/A1bMi5h+toMlNlFFFsF2BwiFmw5hkJrcM6UeFow6fr6rQ4Jr35zEne+koZN6ca5/sH+jSEkFGjmmwRcTZ+hJqS+SGgVDYbRq2BNeBZIaNVQ+btppNmn+9lFERFmDhk515T9m7eui3r1/z0t0pZnhJ1NwzyPh2OBVQcv4O1vs2FiWQiiCBPHIIyvWIy4JzsPz+t0yHR93t9KgnOKxOhsKMDoni2wOkSvOdz0G0NqOwq+SVBQOgQh1S8m0oI5wxPw0ob63dmXAdCrfRMcOn8VPMNAgIS5wxNV+6g+tzT1+jg8CzzYszWGLd+jSRUxCgiN9oNGQWmEmVNmhH0hSsBbO0/B6pCUQNbCA2+N6YaEVs4ul3e+ssNjLrtdFHFTRHAKOhodmCS0ami4LsGXHG76jSG1GZ2QJISQOmxM73Z4cXDn6h5GtZIAHDh7FYIIOCRn6si8zVlYdUBd39vEMR4fh2NZfPZDjmGqiD9pZ0bpEyU2QZOmYcTEMZjcPw5mTh04mzkO0eFmxERakFtQCo7Rf7wGJk553mhL8MIBvTrb8uu38Nr3nHK4SV1HM9+EEFLHTfz9LYiw8Ji7KbPOdb0c3b0Vthz9BWUO76k1EgCHKMFhc972pQ2ZAAOM6dUOuQWlzlQND+3fOZYBJAauRcGrUmlDb7Zcb0GhagwM8Mafu6JhuEmZ2X7r22zVbdx7AgiS9vEsPIt3H+uhLIY/fPhXw+cMRKdKvZlq+fV7KrdISF1EwTchhNQDY3q3U+pK/+ubk3UiC5xjGUz6fRy2/PQrKpvXPm/zMdyb0MKn8oyCKGmep6qztO5BqTwjPG1thqYBDwCEmTi0aRJRXp7QyVtPgCWjkzDVJefbxDFYMroL7u54k9fxeavIUlUxkRY8PdBZ5YRyuEl9QcE3IYTUE3KgMzixBf70+i6vi/lqCpYBPnisB3Ycv4K1h3PLF5ECS0Z3QVzzKCX4FAURNtGZm+1r/xkT5+zsmNSmkbM849qjsOnc2cyzWDK6CwAEvd9ActdYNGpgwt/+c1hVNhAA7II22Pe1J0DWpetwryfuiacygYF+zZTDTeoTCr4JIaSeiWsehecGdfS7RXl1WTAiEV3bNkbTqDA83re9pnKIa/ApVxaJMHNY92Mu3t99tnzGWp9cik9+nPiWDTFk2W7YXI5MzByDbU/3Q1zzKAAISaWNhFbRunP5c4YneKyDbSQm0uLTTLcrZ764OiebGtoQUnUUfBNCSD30SK+2WL4z268W5ZXF+tDCXQ/HMpg/IgGRFh59U9JUs82uaReAfvA5Y/DvMP6uDsi6VAiAQUKrhvgy61fM23wMJo6BIEqameu45lFY+kCSZnZbDryNnivQXKuEcKyzo+Wc4fGqTpXBlnmxUNPgxyYImlKLhBD/UPBNCCH1kDMXuIsqF9gdx6DKqSkrxvZAiU3AtLVHYRdEVRDOMoCJYzUHAOE8ixmDO2N4UisAQN+UtEqnPjhnfJspf4/p1Q73JrTwOHNd1TrSgVigqDcOAF6D3kA9d36xFQu2HtNc7hCAe9/YhXATH5QccELqAwq+CSGknkruGovIG5dwQWqKhVuOwe4SGFs4Bq8+2BVTP8/QzYH2RZiJRdOoMAxs0whFZQ7M25wFngVsIjD9T50wqntrZF0qxIRPDqkWF0oMMDypFWIiLcjIuQaeDWzqgy8z15Wd3Q70AkV5HL48bqCeO7/Yip3Hr2jedwAQJAmQgCKrsypMsHLAfRkjLdAktRXV+SaEkHos2sJieFIrcLz654BhGfS5JQZLR3fxWv/aE7m1+YKtx2ATJNywS3AIEv5Vnm9+d8dmWDI6ybBdeObFQhRb1akPrhVGnG3Tr2BLxkXsOvmbUnO7OmRfLsK0zzMM64BXlrdW9L7exherDpxHn1fSMGdTpuZ91yMfCIXSxvSL6JuShkc/PIi+KZ7b0RNSE9HMNyGE1HNGXQhjIi3oG9cUOhOgHkVYOFU+dUbONcNW6jGRFsM0D6PUh6mDOiK3oBRfZv6KuZuzYHfJjeFZ4F8Pdg1pKkR+sRWrDl7Am2mnVGMBArNA0VMrel/a1fv63KsOnFe6odp8HFuoG+KEsgILIcFCwTchhBDDADi3oBRmjoPVoW0+wwB4rE9brDmUqwTts4bGIzE2WvUYRq3UXYM2vTQPvYDSzAEpXx6HiWVQppOQ7hCBaWszQhaMbUy/iOlrjxouXA1EcOrL+6d3G5tOWUIjhVYR87Zm6V7HMs7Fr2E8hzKHAEmSVDnfoQx6A3GQQUh1o+CbEEIIAP0A2Kj5jKU8TaVTi4Z4/7Ge8FQ/Wq9yx6xh8V6DJf2A0vlfwcNKUIcoBS0Yc801LiixYZpBXXDAWaIwEMGppzMTrrd5sGdrfLL/gnKZzSFib3aeT2cBfisRYOJY2ARtqokoASYGeGtMN6WrZnXlW/tyIEJITUfBNyGEEEOqwJlhlNJz8kzvS19kIpxnIULCktFJhoFectdYZdGliWOxYMsxRFl4r4HhgE43YVvmZb/GLIhAXlFZwMvhuS5oLLU7IJU/lx6GAT4d3ws928f4tTjQ6LbeKrDkF1vx2Q+5qssk+H4W4KYIzrmY0oCZ4xAdblZ1zqwOvhyIEFLTUfBNCCHEIznw23n8CuZuztIsxCstD8Snrkk3DPTyi62YvyULNkFSZlc95ep6S+fw5m+rfkQ4zwWsHJ5errEnkgSMWXEQD93eRpWW42ks3qqVuJ6ZcA/ScwtKwekk53OMbykZ0RZWCWpZADfcO2vWoNllvY6dhNQmFHwTQgjxKibSgv6dm+EfGzMNb+MQgaxL13U7Ka46eEFVThAwztWVA92qNAByCBKKhIpyePEtG2o6Y/pDL9fYG6tDUtJAvC0O9GchoV6Q3jeuqW4nT0HyPWh2nV3PvFSIBVuOeZxdrs5yf3uy8wJa0pGQUKLgmxBCiE9cT/kzAErt2kB0/+k8JLRqqOoqCQBv7czW3NYmCLqBYWUCXU8kUcKQN/fAwlU+UDPKffeX0QGHrwsJjYL0vTMGYPbweMzZmAVHeRDOs8CS0Ul+Bcby7HpSm0YemxG5HgDYBBGjusfi8b7tVZ1AA0EvwM8vtipnRajiCamNKPgmhBDis4pT/oV4fOUPmu6Y7+86gw/3nFVK7vEs8OzAjjDrdLKc3P9W3WDJeJEng9nDEtCmSTiulzrw/OcZPs2OWwUJgKQsjKxMoOaea3zD5qhU90+j9A2912x1OFu5uzIK0lcdvIC3v82GhWfBCALG9+uA8Xd1qFIwatRoSO8A4NPvc/Dp9zkY26ct5o+4rdLP6cooDcd5FkX9XlHFE1KbUJMdQgghfpFbtj87sKPmOkGCqta1QwTeTDsJm9vKRAvP4pFebQ0ff/GoLkrjHQvP4vl7OmLf3wdiTO92uLtjMxSW2uEwWu3oxv2HrrKNYZK7xmLvjAH47/he+P6lQVh4XyLMHIMw3vtPaQMzp2kg5Mr1NVvKmxqxLINhy/eomsgYlRR8a+cplNlFlNgE2AXg433n/H59vpIPAPR8sv8Csi8XVfk5jJoGZV8uwls7T2lu709ZRUKqW8iD70OHDmHkyJEYPnw4Jk2ahMLCQgBAYWEhJkyYgOTkZIwePRo///yz5r6SJCElJQX33nsvhgwZgsOHD4d6+IQQQso90qstLLz3Djw8y2Fy/zhVF8sloz1XqHANdPf9fQCeHlgxSy43g/F15tk9RLcKomZG2VdySkZMpAVjerfD/pkD8f7YnkrpRT0WnsG7j3bH3hkDPKa7JHeNxZbJ/SAxzve0zC5qOlW6H5iEmVhM7h8HM6d+PcHsPNm6cbjmYMpVes415d/5xVZk5Fzzu9OmXoBvYlmk51zTvFYAmNw/jma9Sa0R8uB75syZWLx4MTZv3oy4uDisWLECAPDxxx+jY8eO2LRpE5588knMnz9fc9+vvvoKp0+fxrZt2/DWW29h5syZcOg0fiCEEBJ8MZEWVWt4C8/otqIXJBGP9GqrBNPeglDXx5cDXVl+sRXztmi7XvpFFDUzypXlPAtwE5aMrgiITRwDnoXLgUYS7u7YTPM69ILSEpsAC6cNOl0DadcDk70zBuCRXm1DWvs6JtKCyf3jDK/v2qYRgKq1gTeq5921TSPN5SYWhmdRCKmJQp7zvW3bNphMJtjtdly+fBmdOnUCAIiiiJKSEgBAaWkpwsLCNPf97rvvMGTIELAsi/bt26Nly5Y4cuQIbr/99pC+BkIIIU7u9af3Zufh+c8zVDnfrov+qjo76ey4ycBWhXkXmwhAFANSBUXm/j7IY/VlseLk/nF4pFdbxERafG4i456PHera14/0aovlO09pKtg82LM14ppHVbkNvHt9ebvg7J4a1zwKi0d1wbOr0yE/s10E3thxMmC55oQEW8iDb5PJhBMnTmDcuHHgeR5Tp04FADz++ON46KGH0K9fP5SUlOCjjz7S3PfKlSto1qyZ8vdNN92EX3/9NWRjJ4QQouUaCLouyJSrnQQyCGzdOFyp5hEIQ5bthiVA9cDdA2JfFyu++s1JLN95SmlSVJlA2lsTnkCTz3rIdcFtgojpf+qMib+/BUBg2sArjZm2HIOZZ7Fg6zFEhfGIb9kQ7lvAJ/svYGzvmz1WW/FWGrE6SyeS+oWRJA8traogNTUVL7/8suqyDh06YOXKlcrfq1evxoYNG7B69Wo8//zzSEpKwtixY3HkyBFMmTIFW7duRUREhHL7cePGYeLEiejTpw8A4Pnnn8eAAQMwdOhQr+OxWq3IzDSuT0sIIaR22H2hFG8fKiyfEZXAALAH4JfMzAHvDm2GaEvwMjKzr9ox77uruOHQDtj1+QutIn4rEXBTBBfU8VSV0TgLrSImbb0Cm0s/Jn/fX6PHeOy2KKxI1y7qnHx7NPrfrJ9qI28zPMPAIUl4smc07mob7vP1hFRGYmIiLBbtgVzQZr4HDx6MwYMHqy6zWq3Yvn07Bg0aBABITk5GSkoKAGDHjh1Knne3bt0QExOD06dPo0uXLsr9W7RogStXrih/5+XlqWbCfWH0RtQ3hw8fRo8ePap7GKSa0XZAauM20KMH8Ng9zlnKCDOHYcv3wK5Tc9xfFp5HTJtbkVSesxwMNxdbMWdXGqCZuw3N8xsJxnawtMFFzQz+AD/OLGTkXIOFvwqbUJFjZOF5dPvdLUB6uub29/VL0p35zi+2YsyGNNgEwFb+vr/7YxEeu+d2xERavF5fX9TGfUFN5W3CN6SH0zzPY968ecqAUlNT0b17dwBA586dsX37dgDAuXPncOXKFbRv3151/7vvvhubN2+GIAg4f/48zp07h9tuoxwvQgipb+TFmHIOsLeqK6O6tUKUxfN8UyhaqMu5zHrVUWpSC/dAcF8YGojGRnZRRJ9bmmJsH/UCy7F92hqmnBhVTpEXsXq7npBAC2nON8dxeO211zB79mwIgoDmzZtj4cKFAIBXXnkFs2fPxgcffACz2YyUlBRERUVhx44dSEtLw8KFC3Hvvffi6NGjSE5OBgAsXLhQd2EmIYSQ+kPOd/704AW8mXYKNrcahBaexRN/iMPWTM9rhJJaR/s001nV3GDX8S7feQpmjgvJIsnqYNSox9f7GuW/zx9xG8b2vhnpOdfQtfwgzIi3Ray+LnKtDMojJ3qClvNd08inACjtxIlOLxGAtgNS97aB/GJreVCbDbNbO/lN6RfLFwgyuGEXdO+/fcrdHgM5o66LVRlvTQjOavJ2EIj3SP7sjT43b9dXRqC3lWCrydtAbeMt5qT28oQQQuqMmEgLnh54Kx7p1VYTsFVUYrmOx1f+oFs1JT3nmmHwXdXyeUbjpRlRfa5Bd1Xz4L1Vgwl0tZhgbCuk7qDgmxBCSJ1jFNTKTXGm/6kTFqUe11zf1UOQF4jyeUTNaFY7GLPG3g50/DkQ8jYbT9sK8YSCb0IIIfXOxN/fguzfirDmUEXXRU+L9gAgwszB6lCnq9S1RZKhZBRg14RZY9fgGlA3TPLlwCCYeeSk9qPgmxBCSL20eHRXTLzrFp8W7W1Mv4jpa48CYABIsHAMGJbRXSRZU/K4azJPAXZ1zxrLwTXPMii1CWBZBmHljZhmDY3Hgq3HvB4Y6C0WnTUsXqmgQttF/UbBNyGEkHorrnmUx6AbcAaKL3yeAbtLFRVBAr6c3E9z39q2yK66eAqwq3PW2PWgQCYIEuzltcbnbc6CmdcvS+gpjzzzYiEWbDlG2wUBEOI634QQQkhtk3WpUBV4A4BDlLAnOw/5xVblMtfArcjqQJldxPR1R1W3IU6eAmx51jjMxCLKwiPMxIasDGNuQSl41rhmvIljNaUsPR0YxERa0LpxuDJbTtsFASj4JoQQQjy6XmrXvfyV1J/RNyUNm9KdeePUrMV33gLsqjboqazWjcM1wbUrQZIwZ3i8XwcGtF0Qd5R2QgghhHjQMNyse3mZQwIgYdrao2jUwIxW0WG0yM4P3sr7VUcZxphIC+YMj8dLX2hbg1t4VkkXuTehhc95/bT4krij4JsQQgjxIKFVQ/As4BD1r7c6REz6z2GIkPBgz9ZYcyhX05GR6KuJdc7H9GoHSM78bhPHwiGKmNzfWTteHqs/4/bUqZPUTxR8E0IIIR7ERFrwrwe7YtraDDBgUKYThcsdM9ccysWWyf1QYhOo2kktNqZ3O9yb6PvstjeeZvmpOk79Q8E3IYQQ4kVFd8xC7D+dj4/2ngPHMrhhU9f9NrEsSmxClTsykuoX6Fl5vcej6jj1Ey24JIQQQnywJzsPE/9zGP89cAGAhL/0aQcLr66MQbm8xFdUHaf+ouCbEEII8cI9ULI6JHy87xxmD0+olpJ4pPbTq4LCMQyyLl1HRs41CsLrMEo7IYQQQrwwagqT2Coae2cMoJxd4pV7brdeFZQSm4BxH3+PBmae0lDqMAq+CSGEEC+8NYWhoJt4surAeaV6iiBJSlA9a2g8XtqgLmsoSECR1dlRU691Pan9KO2EEEII8cKfrov5xVZKGyCKVQfO46UNmbAJEkpsgiq3OzE2GpEWzvC+1IynbqKZb0IIIcQH3prCAMYznKR+yi+2Yt6WY5rLOYZRtiOHaNxRkxbw1k00800IIYT4KCbSgqQ2jXQD7/e/O204w0nqp9yCUpg5RnO5XahIWXI9o2LiGPAsaAFvHUcz34QQQkgVrTpwHotSj2suF0UJuQWlFEDVU0Yz23OGJyjbhPsZFQC0gLeOo+CbEEIIqQKj1AIAsAkSIszGOb2kbnNtLc+xDOyChDnD450t7N1u5xpoU9Bdt1HwTQghhFSBnFpgc2ivs/DOjpfBQq3JfVdd75UvawVIcNTU7wcF34QQQkgVeFo0xzAI2oI5f1uTy4FIhJlDiU2ocQFJMFV3G3cqRxl61f2Ze0LBNyGEEFIFMZEWPNizNT7Zf0G5jGcZ8BwTtAVzrh035cY/nmpCy4EIAJTZRZhZAAyDOcMTMKZ3O83t6xJ/3ytS+9X0z5yCb0IIIaQK8outWHMoV3UZywBbJvdDXPOooDynXsdNjmV0F3e6BiIymwgAkrPBCwN0rsPRgFF3UloIW3fV9M885KUGDx06hJEjR2L48OGYNGkSCgsLAQCFhYWYMGECkpOTMXr0aPz888+Gj3HixAkMHTo0VEMmhBBCDOk1QWEYIN2g0U4gmvDotia3Csi8WKg7PhNr/HM/b/MxFFpFw+trO0/dSUndVNM/85AH3zNnzsTixYuxefNmxMXFYcWKFQCAjz/+GB07dsSmTZvw5JNPYv78+br337BhA8aPH4/SUur4RAghpPpFmDnVrDIAWB0S5mzKQt+UNGxKv6hcvjH9IvqmpOHRDw9qrvPXuDtv1ly2YOsxTVCvF4i4MnEMfisJ3qLQ6uZPd1JSN9T0zzzkJ5q2bdsGk8kEu92Oy5cvo1OnTgAAURRRUlICACgtLUVYWJjmvkVFRdixYwf+9a9/YcaMGSEdNyGEEKKnxCbAwjGwCpLmcqAi1xRAQPJQ5fxtFtrmLXqn1uVAZOqadDh0YnC7IMHCax+rttKrcEEVR+qfmvyZM5IkGfc1DZITJ05g3Lhx4Hken332GVq2bIlr167hoYceQklJCUpKSvDRRx+hW7duuvfPzc3F2LFjkZaW5vNzWq1WZGZmBuolEEIIIQCAQquISVuvwKiiYDjPYO7vmwAA5n13FTccFT+7YRwwvns0ure0INri/WS0t+cyc8C7Q5tpHqvQKmLSlivlud5qJgZgWODJntG4q23NOC1fWbsvlOLtQ4XgGQYOSaoTr4nUXomJibBYtEF/0Ga+U1NT8fLLL6su69ChA1auXIlOnTph3759WL16NaZMmYLVq1djwYIFGDNmDMaOHYsjR45gypQp2Lp1KyIiIgI6LqM3or45fPgwevToUd3DINWMtgNC20BgLG1w0dlIhWE0db0lhsGgPs7JpDm70gBUBN9lArDyaDE+TC/yqRRaRs41WPirsAk6RcUBzBmeiAE61Usycq7BYroKm1V7P7sEQADe/bEIj91ze42aIfRHfrEVYzakwSYAtvL3uLa/plCifUHgeJvwDVrO9+DBg7Fr1y7V/9577z1s375duU1ycjJOnDgBANixYwdGjRoFAOjWrRtiYmJw+vTpYA2PEEIICZjkrrHYO2MAPp3QGwvvT9TNNXXNQ3XtellsFVBmFzF93VGvizA95W9HWDgkxkb7fT+ZnLJSW+ktLK3tr4nUTSFdcMnzPObNm6ccDaSmpqJ79+4AgM6dOyuB+blz53DlyhW0b98+lMMjhBBCKi0m0oKkNo0wplc77J0xAP8d3wt7ZwxQzWbLQfq85AREWtRt5/UCRffKKHIAr5ejLYiSYTUH9wVoFp4F7xYB1KRqEJVR0ytcECIL6YJLjuPw2muvYfbs2RAEAc2bN8fChQsBAK+88gpmz56NDz74AGazGSkpKYiKisKOHTuQlpam3I4QQgip6Tx1NIyJtKB/52aY+cVPqsvLHIIqUDTq0CcvJPv04AUs35kNM1dxvaf0CvcFaHuz8zC9/PGtDkeNqgZRGfIBxnS396w2vyZSN1XLgsvqIOffUM63E+V2EYC2A0LbQHXJL7ai16LtquojPAscfHEQYiItyC+2om9KmqqEYZiJxd4ZA1TBpF5lD3/HkVtQivycUxhw5+1Vek01RVXfk/qK9gWB4y3mrMM9rQghhJCaKbegFOEmHkUuCyDDTbxSJtDXDn2eZth9Id//8JWQt/0Imqq+J4QEW935thFCCCG1hLf8ZMpfJqTuouCbEEIICQJPbeS9deCr6R36CCGVR2knhBBCiJ+85RUbLZZ05a0Dn6frKa+ZkNqLgm9CCCHED94C6/xiq89t5L3lJ+td70tgTwipuSjthBBCCPGRa2BdZHXoNsfxpdmLp5SUqj6/3n0q81yEkOCgmW9CCCHER75UIfG2WLKyM9f5xVbsPH4FHKNusKNXBUVGs+SE1Dw0800IIYT4yJcqJJ4WS1Zm5hpwBtF9U9Iwd3MWSmyCx+eXVfa5CCHBRTPfhBBCiI987aJotFjS1/rdrlyDaFcRZg6CJBlWQanMcxFCgo+Cb0IIIcQPeoG1XvURvcWSlanfrRdER1g4zBuegP6dmxkG0p6ei6qlEFJ9KPgmhBBC3HgLTl0Da3/yqn2dOXelF0QLouQx8Pb0XHuy8zTjpSxwQkKHgm9CCCHEhT/BtD9lBWXe6nu7q0zA7vpc8S0bIj3nGrq2aYTGEWb0TUnTjPftwU29PhYhJDAo+CaEEELK+RtMG+VVZ10qRHS42aeZc1/4G7DL3A8knvpDnGa8HMvgtxLBw6MQQgKJgm9CCCGknL+LFPVSQsocAiZ8cghmjgtoeT9/A3a9A4nlO7MBSKrblVgFnC6wVXl8hBDfUKlBQgghpJy/CyLdywpaeBaSJMHqkKq9vJ9esx8zx+Lxfu01t12ZUUQlCAkJEQq+CSGEkHKeanS7kztH9o1rir0zBuC/43vhg7E9EW5Sn1R2724ZKkYHEn06NEWEmVNdzjFMtYyRkPqI0k4IIYQQF77kVxstyswvtvpdSjBYjBZqJrRqCEFSp54IklQtYySkPqLgmxBCCHHjKb/a26LMylYmCQajAwn3MU7qHkX1vgkJEQq+CSGEED94W5RZ2cokwaJ3IOE+xnMnMqtpdITUPxR8E0IIIX7wZVGmv5VJqoPrGM9V71AIqVdowSUhhBDiB38WZRJCiDua+SaEEEL8VNNSSwghtQcF34QQQkgl1IbUEkJIzRPytJNDhw5h5MiRGD58OCZNmoTCwkIAQGFhISZMmIDk5GSMHj0aP//8s+a+JSUlePbZZzF8+HAMHz4cW7duDfXwCSGEEEIIqbSQB98zZ87E4sWLsXnzZsTFxWHFihUAgI8//hgdO3bEpk2b8OSTT2L+/Pma+77//vto1aoVNm/ejJUrV+Lll19GXl5eqF8CIYQQQgghlRLytJNt27bBZDLBbrfj8uXL6NSpEwBAFEWUlJQAAEpLSxEWFqa57x133IH27Z1tcWNiYtCoUSPk5eWhadOmoXsBhBBCCCGEVBIjSW5trkLgxIkTGDduHHiex2effYaWLVvi2rVreOihh1BSUoKSkhJ89NFH6Natm+FjbNu2Da+//jq2bdsGnvd+DGG1WpGZSXVMCSGEEEJI8CUmJsJi0a4LCVrwnZqaipdffll1WYcOHbBy5Url79WrV2PDhg1YvXo1nn/+eSQlJWHs2LE4cuQIpkyZgq1btyIiIkL3sRcuXIgPP/wQnTt39mk8cvBt9EbUN4cPH0aPHj2qexikmtF2QGgbIABtB4S2gUDyFnMGLe1k8ODBGDx4sGYw27dvx6BBgwAAycnJSElJAQDs2LFDyfPu1q0bYmJicPr0aXTp0kX1GP/5z3+wYsUKrFixQklZIYQQQgghpDYIac43z/OYN28eWrRogcTERKSmpqJ79+4AgM6dO2P79u0YMWIEzp07hytXrij53bLt27dj5cqV+N///oeWLVv69dzyBL/NZgvMi6kDrFZrdQ+B1AC0HRDaBghA2wGhbSBQ5FjTKLkk5Dnfhw4dwqJFiyAIApo3b4758+ejRYsWOHfuHGbPno2rV6/CbDbjhRdewJ133okdO3YgLS0NCxcuRHJyMq5evYqYmBjl8f75z3/itttu8/q8RUVFOHnyZDBfGiGEEEIIIQCAjh07IioqSnN5tSy4rA5yNRWTyQSGYap7OIQQQgghpA6SJAl2ux0RERFgWW1V73oTfBNCCCGEEFLdQt5khxBCCCGEkPqKgm9CCCGEEEJChIJvQgghhBBCQoSCb0IIIYQQQkKEgm9CCCGEEEJChIJvQgghhBBCQoSCb0IIIYQQQkKEgm9CCCGEEEJChILvOqS4uBjDhg1Dbm6u6vL//ve/eOyxxzS3//bbbzFgwADDx3r++edx33334b777kNWVlZQxkwCK5DbQGFhISZMmIDk5GSMHj0aP//8c1DGTALP1+1g+fLl6N+/P0aMGIERI0Zg1apVmse6fv06Jk6ciMGDB2PMmDH47bffgj5+UnWB3AZOnz6NMWPGYMSIEXjooYdoX1CLBHI7kP3666+44447NI9JfEfBdx2RkZGBhx9+GOfOnVNdnp2djffff19z+7y8PKSkpBg+3ssvv4yWLVtiw4YNmDp1KubOnRvgEZNAC/Q28PHHH6Njx47YtGkTnnzyScyfPz/QQyZB4M92kJmZiX/961/YuHEjNm7ciDFjxmge7/XXX0fPnj2RmpqKBx54AAsXLgzm8EkABHob+Mc//oEJEyZg48aNeO655zBjxoxgDp8ESKC3AwAQRREvvfQS7HZ7sIZdL1DwXUesWbMGc+bMQbNmzZTLbDYbZs+ejWeeeUZz+3/84x+YPHmy7mNJkoSvv/4aEydOBADcfffdWLRoUXAGTgImkNsA4NzJlpSUAABKS0sRFhYW+EGTgPNnO8jMzMR7772H4cOHY/78+bBarZrH+/bbbzF8+HAAwLBhw7Br1y764a3hAr0NPPDAA7jrrrsAAJ06dcIvv/wS3BdAAiLQ2wEAfPjhh7jzzjvRuHHjoI69rqPgu45YuHAhevbsqbrs1VdfxahRo9CmTRvV5Z988gni4+ORlJSk+1j5+fkwm8349NNP8dBDD2Hs2LEQBCFoYyeBEchtAAAef/xx7N+/H/369cM//vEP3QCe1Dy+bgclJSX43e9+h2nTpuGLL77A9evX8fbbb2se78qVK7jpppsAADzPIzIyElevXg3uiyBVEuhtYOTIkeA4DgCwbNkyDBo0KLgvgAREoLeDzMxMHDhwAOPGjQv62Os6Cr7rqL179+KXX37BqFGjVJefPHkSX3/9NZ588knD+wqCgLy8PERFReGzzz7D3/72Nzz11FPBHjIJsKpsAwCwYMECjBkzBnv27MFHH32EKVOmKDPhpPYw2g4iIiLwwQcf4JZbbgHP83j88cfx3XffeX08SZLAsvTTUZsEYhuQJAkpKSnIyMjAiy++GIphkwCrynZQWlqKefPm4Z///Cd9/wOAr+4BkODYsmULTp06hREjRuDGjRvIy8vDc889hw4dOuC3337DqFGjYLfbceXKFTzyyCP49NNPlfs2btwYPM9j2LBhAIC+ffvixo0byM/PR0xMTHW9JOKnqmwDALBjxw4lz7tbt26IiYnB6dOn0aVLl+p4OaSSjLaD6dOnY9++fRg9ejQAZ3DF89qfhGbNmiEvLw8tWrSAw+FASUkJGjVqFOJXQaqiqtuAw+HAjBkzcPnyZXzyySeIiooK9UsgAVCV7eDQoUPIz8/HE088AcB5RmzixIlYvnw5OnToEPLXUutJpE7p37+/lJOTo7rswIED0qOPPqq5bU5OjtS/f3/dxxk/fry0atUqSZIk6ciRI1L//v0lQRACP2AScIHaBh566CFpw4YNkiRJ0tmzZ6V+/fpJ169fD/yASVB42w7y8/OlO+64Q7pw4YIkiqI0c+ZM6d1339U8zty5c6V33nlHkiRJ2rhxozRhwoTgD54ERKC2gX/+85/SxIkTJavVGpJxk8AK1Hbg7TGJ72jmmyjeeOMNNGvWDA8//DAWLlyI2bNn49NPPwXP83jttdfoVFM94LoNvPLKK5g9ezY++OADmM1mpKSk0IxXHdKkSRPMnz8fTzzxBOx2O7p3767kcrpuB88++yz+/ve/Y+jQoYiKisLSpUureeQkUHzZBv70pz9h1apVaN26NR544AHlvhs3bqyuYZMA83VfQAKHkSRJqu5BEEIIIYQQUh/QVCYhhBBCCCEhQsE3IYQQQgghIULBNyGEEEIIISFCwTchhBBCCCEhQsE3IYQQQgghIULBNyGE1DK5ubno1q1b0J/n22+/xRtvvAHA2XTpn//8p+Zyf/ztb3/D+vXrAzpGQgipbajONyGEEF0//fQTCgsLAQADBw7EwIEDNZcTQgjxDwXfhBBSRxQVFWHevHk4fvw4GIbBXXfdhalTp4Lnedx2222YOHEi9u7diytXrmD8+PF45JFHIAgCFi9ejLS0NERFRaFLly44ffo0XnjhBaxevRqCICAqKgrt2rXDV199hSeffFL38vfeew8AsH79euXvy5cv4+9//zuuXLmCVq1aIT8/Xxnr6dOnsXDhQly7dg2CIOCxxx5T2lsTQkhdRmknhBBSR/zzn/9Eo0aNsHnzZqxbtw4nTpzARx99BACw2Wxo3LgxVq9ejWXLluHll1+G1WrF559/jqysLGzZsgWrV69GTk4OACApKQl//vOfMWTIEEyZMkV5DqPL9cyfPx9JSUnYunUr/vGPf+Ds2bMAAIfDgWeeeQbPP/881q9fj//+97/46KOPkJ6eHpw3hhBCahAKvgkhpI7YtWsXHn30UTAMA7PZjD//+c/YtWuXcr2cNpKQkACbzYYbN27gu+++w4gRI2CxWGA2m/HQQw8FbDz79u3DyJEjAQDt2rVDr169AADnzp3DhQsX8OKLL2LEiBF49NFHUVZWhmPHjgXsuQkhpKaitBNCCKkjRFEEwzCqvx0Oh/K3xWIBAOU2kiSB59U/Ayzr35wMwzCQJEn52263G14nP5ecsrJx40blury8PERFRfn13IQQUhvRzDchhNQR/fr1w3//+19IkgSbzYY1a9bgzjvv9Hif3//+99i0aRNsNhscDge++OIL5TqO41TBu97lTZo0walTp2C1WmG32/HVV18pt7vrrrvw2WefAQAuXbqEgwcPAgDat2+PsLAwJfj+5ZdfMGzYMGRmZlbtDSCEkFqAZr4JIaQWunHjhqbc4HvvvYfPPvsMw4cPh91ux1133YVJkyZ5fJyRI0fi7NmzuO+++9CgQQO0bt0a4eHhAIDevXvjhRdewIIFC5CQkKDcx/XymTNn4vbbb8fgwYNx0003oVevXjhx4gQAYM6cOZg5cyYGDx6MFi1aoHPnzgAAs9mMt99+GwsXLsSHH34Ih8OBZ599Fj169AjkW0QIITUSI7meEySEEFKv7NmzB/n5+RgxYgQA56JNi8WCadOmVfPICCGkbqLgmxBC6jG5HGBeXh5EUUTnzp0xd+5cyr8mhJAgoeCbEEIIIYSQEKEFl4QQQgghhIQIBd+EEEIIIYSECAXfhBBCCCGEhAgF34QQQgghhIQIBd+EEEIIIYSEyP8DPYFP0qPlUFMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.plot(kind=\"scatter\", x=\"Longtitude\", y=\"Lattitude\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.plot(kind=\"scatter\", x=\"Longtitude\", y=\"Lattitude\", alpha=0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f838b305040>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.plot(kind=\"scatter\", x=\"Longtitude\", y=\"Lattitude\", alpha=0.3,\n",
    "             figsize=(25,10),\n",
    "             c=\"Price\", cmap=plt.get_cmap(\"jet\"), colorbar=True,\n",
    "             sharex=False)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f83aa8d4a90>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.plot(kind=\"scatter\", x=\"Longtitude\", y=\"Lattitude\", alpha=0.3,\n",
    "             s=housing[\"Landsize\"]/25, label=\"Landsize\", \n",
    "             figsize=(25,10),\n",
    "             c=\"Price\", cmap=plt.get_cmap(\"jet\"), colorbar=True,\n",
    "             sharex=False)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f838b7ca8e0>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.plot(kind=\"scatter\", x=\"Longtitude\", y=\"Lattitude\", alpha=0.3,\n",
    "             s=housing[\"BuildingArea\"]/5, label=\"BuildingArea\", \n",
    "             figsize=(25,10),\n",
    "             c=\"Price\", cmap=plt.get_cmap(\"jet\"), colorbar=True,\n",
    "             sharex=False)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f838b30b580>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.plot(kind=\"scatter\", x=\"Longtitude\", y=\"Lattitude\", alpha=0.3,\n",
    "             s=housing[\"Distance\"]**2, label=\"BuildingArea\", \n",
    "             figsize=(25,10),\n",
    "             c=\"Price\", cmap=plt.get_cmap(\"jet\"), colorbar=True,\n",
    "             sharex=False)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr_matrix = housing.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Price            1.000000\n",
       "Rooms            0.487933\n",
       "Bedroom2         0.450010\n",
       "Bathroom         0.442478\n",
       "BuildingArea     0.265870\n",
       "Car              0.213664\n",
       "Longtitude       0.189497\n",
       "Landsize         0.051059\n",
       "Propertycount   -0.032002\n",
       "Distance        -0.173708\n",
       "Lattitude       -0.198889\n",
       "YearBuilt       -0.354215\n",
       "Name: Price, dtype: float64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix[\"Price\"].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 25 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# from pandas.tools.plotting import scatter_matrix # For older versions of Pandas\n",
    "from pandas.plotting import scatter_matrix\n",
    "\n",
    "attributes = [\"Price\", \"Rooms\", \"Bedroom2\",\"Bathroom\",\n",
    "              \"YearBuilt\"]\n",
    "scatter_matrix(housing[attributes], figsize=(16, 8))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.plot(kind=\"scatter\", x=\"Price\", y=\"Rooms\",\n",
    "             alpha=0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=housing, x=\"Rooms\", y=\"Price\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(data=housing, x=\"Rooms\", y=\"Price\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Plot landsize vs Price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(data=housing, x=\"Landsize\", y=\"Price\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(data=housing, x=\"Landsize\", y=\"Price\")\n",
    "plt.axis([-10, 1000, 0, 5e6])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "## mmm there is a lot of 0 at Landsize.... "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Let's see BuildingArea"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(data=housing, x=\"BuildingArea\", y=\"Price\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(data=housing, x=\"BuildingArea\", y=\"Price\",)\n",
    "plt.axis([-10, 1000, 0, 5e6])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Now there is no 0 but NaNs.. NaNs are not displayed, neither taked into account to estimate the fit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Price</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3637</th>\n",
       "      <td>1740000.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>155.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3712</th>\n",
       "      <td>920000.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4915</th>\n",
       "      <td>930000.0</td>\n",
       "      <td>635.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2957</th>\n",
       "      <td>622000.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>71.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2115</th>\n",
       "      <td>630000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3837</th>\n",
       "      <td>785000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4363</th>\n",
       "      <td>525500.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1837</th>\n",
       "      <td>800000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2736</th>\n",
       "      <td>920000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1125</th>\n",
       "      <td>335000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Price  Landsize  BuildingArea\n",
       "index                                   \n",
       "3637   1740000.0     739.0         155.0\n",
       "3712    920000.0     230.0           NaN\n",
       "4915    930000.0     635.0           NaN\n",
       "2957    622000.0     137.0          71.0\n",
       "2115    630000.0       0.0           NaN\n",
       "3837    785000.0       0.0           NaN\n",
       "4363    525500.0      88.0          60.0\n",
       "1837    800000.0       0.0          89.0\n",
       "2736    920000.0       0.0           NaN\n",
       "1125    335000.0       0.0          54.0"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing[['Price','Landsize','BuildingArea']].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Price</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Propertycount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4345.000000</td>\n",
       "      <td>4.345000e+03</td>\n",
       "      <td>4345.000000</td>\n",
       "      <td>4345.000000</td>\n",
       "      <td>4345.000000</td>\n",
       "      <td>4326.000000</td>\n",
       "      <td>4345.000000</td>\n",
       "      <td>2314.000000</td>\n",
       "      <td>2643.000000</td>\n",
       "      <td>4345.000000</td>\n",
       "      <td>4345.000000</td>\n",
       "      <td>4345.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.933026</td>\n",
       "      <td>1.075276e+06</td>\n",
       "      <td>10.257077</td>\n",
       "      <td>2.915305</td>\n",
       "      <td>1.533257</td>\n",
       "      <td>1.625058</td>\n",
       "      <td>531.242808</td>\n",
       "      <td>146.213439</td>\n",
       "      <td>1965.088914</td>\n",
       "      <td>-37.810694</td>\n",
       "      <td>144.996836</td>\n",
       "      <td>7341.139931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.950370</td>\n",
       "      <td>6.430367e+05</td>\n",
       "      <td>6.071930</td>\n",
       "      <td>0.997099</td>\n",
       "      <td>0.701459</td>\n",
       "      <td>0.983781</td>\n",
       "      <td>1542.095328</td>\n",
       "      <td>162.525403</td>\n",
       "      <td>36.307565</td>\n",
       "      <td>0.079887</td>\n",
       "      <td>0.106853</td>\n",
       "      <td>4344.860422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.450000e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1830.000000</td>\n",
       "      <td>-38.174880</td>\n",
       "      <td>144.542370</td>\n",
       "      <td>389.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>6.500000e+05</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>184.000000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>1940.000000</td>\n",
       "      <td>-37.857600</td>\n",
       "      <td>144.932800</td>\n",
       "      <td>4181.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>9.010000e+05</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>443.000000</td>\n",
       "      <td>125.000000</td>\n",
       "      <td>1970.000000</td>\n",
       "      <td>-37.802740</td>\n",
       "      <td>145.000600</td>\n",
       "      <td>6482.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.325000e+06</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>654.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>1999.000000</td>\n",
       "      <td>-37.758000</td>\n",
       "      <td>145.059500</td>\n",
       "      <td>10331.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000e+06</td>\n",
       "      <td>47.400000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>75100.000000</td>\n",
       "      <td>6791.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>-37.408530</td>\n",
       "      <td>145.482730</td>\n",
       "      <td>21650.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Rooms         Price     Distance     Bedroom2     Bathroom  \\\n",
       "count  4345.000000  4.345000e+03  4345.000000  4345.000000  4345.000000   \n",
       "mean      2.933026  1.075276e+06    10.257077     2.915305     1.533257   \n",
       "std       0.950370  6.430367e+05     6.071930     0.997099     0.701459   \n",
       "min       1.000000  1.450000e+05     0.000000     0.000000     0.000000   \n",
       "25%       2.000000  6.500000e+05     6.200000     2.000000     1.000000   \n",
       "50%       3.000000  9.010000e+05     9.200000     3.000000     1.000000   \n",
       "75%       3.000000  1.325000e+06    13.000000     3.000000     2.000000   \n",
       "max       8.000000  8.000000e+06    47.400000    20.000000     8.000000   \n",
       "\n",
       "               Car      Landsize  BuildingArea    YearBuilt    Lattitude  \\\n",
       "count  4326.000000   4345.000000   2314.000000  2643.000000  4345.000000   \n",
       "mean      1.625058    531.242808    146.213439  1965.088914   -37.810694   \n",
       "std       0.983781   1542.095328    162.525403    36.307565     0.079887   \n",
       "min       0.000000      0.000000      0.000000  1830.000000   -38.174880   \n",
       "25%       1.000000    184.000000     92.000000  1940.000000   -37.857600   \n",
       "50%       2.000000    443.000000    125.000000  1970.000000   -37.802740   \n",
       "75%       2.000000    654.000000    173.000000  1999.000000   -37.758000   \n",
       "max      10.000000  75100.000000   6791.000000  2017.000000   -37.408530   \n",
       "\n",
       "        Longtitude  Propertycount  \n",
       "count  4345.000000    4345.000000  \n",
       "mean    144.996836    7341.139931  \n",
       "std       0.106853    4344.860422  \n",
       "min     144.542370     389.000000  \n",
       "25%     144.932800    4181.000000  \n",
       "50%     145.000600    6482.000000  \n",
       "75%     145.059500   10331.000000  \n",
       "max     145.482730   21650.000000  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prepare the data for Machine Learning algorithms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing = strat_train_set.drop(\"Price\", axis=1) # drop labels for training set\n",
    "housing_labels = strat_train_set[\"Price\"].copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Cleaning \n",
    "\n",
    "What to do with data with missing values\n",
    "* Option 1: Remove rows\n",
    "* Option 2: Remove columns\n",
    "* Option 3: Impute missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4345 2340\n"
     ]
    },
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Suburb</th>\n",
       "      <th>Address</th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Type</th>\n",
       "      <th>Method</th>\n",
       "      <th>SellerG</th>\n",
       "      <th>Date</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
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       "      <th>CouncilArea</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
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       "      <th>Propertycount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3712</th>\n",
       "      <td>Moorabbin</td>\n",
       "      <td>3/13 Perry St</td>\n",
       "      <td>3</td>\n",
       "      <td>t</td>\n",
       "      <td>S</td>\n",
       "      <td>hockingstuart</td>\n",
       "      <td>29/07/2017</td>\n",
       "      <td>14.3</td>\n",
       "      <td>3189.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kingston</td>\n",
       "      <td>-37.93793</td>\n",
       "      <td>145.04048</td>\n",
       "      <td>Southern Metropolitan</td>\n",
       "      <td>2555.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4915</th>\n",
       "      <td>Reservoir</td>\n",
       "      <td>44 Mendip Rd</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Barry</td>\n",
       "      <td>20/05/2017</td>\n",
       "      <td>11.2</td>\n",
       "      <td>3073.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>635.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Darebin</td>\n",
       "      <td>-37.72050</td>\n",
       "      <td>145.01650</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>21650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2115</th>\n",
       "      <td>Richmond</td>\n",
       "      <td>5/33 Goodwood St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>SP</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>8/07/2017</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3121.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.81977</td>\n",
       "      <td>144.99597</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>14949.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3837</th>\n",
       "      <td>Newport</td>\n",
       "      <td>1/217 Woods St</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Raine</td>\n",
       "      <td>4/03/2017</td>\n",
       "      <td>8.4</td>\n",
       "      <td>3015.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Hobsons Bay</td>\n",
       "      <td>-37.84470</td>\n",
       "      <td>144.86540</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>5498.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2736</th>\n",
       "      <td>Toorak</td>\n",
       "      <td>6/2 Tintern Av</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>S</td>\n",
       "      <td>hockingstuart</td>\n",
       "      <td>22/07/2017</td>\n",
       "      <td>4.1</td>\n",
       "      <td>3142.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stonnington</td>\n",
       "      <td>-37.84139</td>\n",
       "      <td>145.00678</td>\n",
       "      <td>Southern Metropolitan</td>\n",
       "      <td>7217.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Suburb           Address  Rooms Type Method        SellerG  \\\n",
       "index                                                                  \n",
       "3712   Moorabbin     3/13 Perry St      3    t      S  hockingstuart   \n",
       "4915   Reservoir      44 Mendip Rd      4    h      S          Barry   \n",
       "2115    Richmond  5/33 Goodwood St      2    u     SP         Biggin   \n",
       "3837     Newport    1/217 Woods St      3    h      S          Raine   \n",
       "2736      Toorak    6/2 Tintern Av      2    u      S  hockingstuart   \n",
       "\n",
       "             Date  Distance Postcode  Bedroom2  Bathroom  Car  Landsize  \\\n",
       "index                                                                     \n",
       "3712   29/07/2017      14.3   3189.0       3.0       2.0  2.0     230.0   \n",
       "4915   20/05/2017      11.2   3073.0       4.0       1.0  3.0     635.0   \n",
       "2115    8/07/2017       2.4   3121.0       2.0       1.0  1.0       0.0   \n",
       "3837    4/03/2017       8.4   3015.0       3.0       2.0  2.0       0.0   \n",
       "2736   22/07/2017       4.1   3142.0       2.0       2.0  1.0       0.0   \n",
       "\n",
       "       BuildingArea  YearBuilt  CouncilArea  Lattitude  Longtitude  \\\n",
       "index                                                                \n",
       "3712            NaN        NaN     Kingston  -37.93793   145.04048   \n",
       "4915            NaN        NaN      Darebin  -37.72050   145.01650   \n",
       "2115            NaN     1970.0        Yarra  -37.81977   144.99597   \n",
       "3837            NaN     2013.0  Hobsons Bay  -37.84470   144.86540   \n",
       "2736            NaN        NaN  Stonnington  -37.84139   145.00678   \n",
       "\n",
       "                  Regionname  Propertycount  \n",
       "index                                        \n",
       "3712   Southern Metropolitan         2555.0  \n",
       "4915   Northern Metropolitan        21650.0  \n",
       "2115   Northern Metropolitan        14949.0  \n",
       "3837    Western Metropolitan         5498.0  \n",
       "2736   Southern Metropolitan         7217.0  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_incomplete_rows = housing[housing.isnull().any(axis=1)]\n",
    "print(housing.shape[0],sample_incomplete_rows.shape[0])\n",
    "sample_incomplete_rows.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3637</th>\n",
       "      <td>Moonee Ponds</td>\n",
       "      <td>2 Parry St</td>\n",
       "      <td>5</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Brad</td>\n",
       "      <td>27/06/2016</td>\n",
       "      <td>6.9</td>\n",
       "      <td>3039.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>1930.0</td>\n",
       "      <td>Moonee Valley</td>\n",
       "      <td>-37.76130</td>\n",
       "      <td>144.91770</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6232.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2957</th>\n",
       "      <td>Wantirna South</td>\n",
       "      <td>12/440 Stud Rd</td>\n",
       "      <td>3</td>\n",
       "      <td>u</td>\n",
       "      <td>S</td>\n",
       "      <td>Ray</td>\n",
       "      <td>15/07/2017</td>\n",
       "      <td>14.7</td>\n",
       "      <td>3152.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Knox</td>\n",
       "      <td>-37.87615</td>\n",
       "      <td>145.23192</td>\n",
       "      <td>Eastern Metropolitan</td>\n",
       "      <td>7082.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4363</th>\n",
       "      <td>Alphington</td>\n",
       "      <td>3/19 Harker St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>S</td>\n",
       "      <td>Miles</td>\n",
       "      <td>12/11/2016</td>\n",
       "      <td>6.4</td>\n",
       "      <td>3078.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1960.0</td>\n",
       "      <td>Darebin</td>\n",
       "      <td>-37.77910</td>\n",
       "      <td>145.03060</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>2211.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1837</th>\n",
       "      <td>Richmond</td>\n",
       "      <td>201/65 Stawell St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>VB</td>\n",
       "      <td>hockingstuart</td>\n",
       "      <td>15/07/2017</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3121.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.82201</td>\n",
       "      <td>145.01040</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>14949.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1125</th>\n",
       "      <td>Reservoir</td>\n",
       "      <td>9/99 Barton St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>SP</td>\n",
       "      <td>Love</td>\n",
       "      <td>13/08/2016</td>\n",
       "      <td>11.2</td>\n",
       "      <td>3073.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Darebin</td>\n",
       "      <td>-37.71120</td>\n",
       "      <td>144.99890</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>21650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1108</th>\n",
       "      <td>Brunswick</td>\n",
       "      <td>32 Lobb St</td>\n",
       "      <td>3</td>\n",
       "      <td>t</td>\n",
       "      <td>SP</td>\n",
       "      <td>Jellis</td>\n",
       "      <td>25/02/2017</td>\n",
       "      <td>5.2</td>\n",
       "      <td>3056.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4668.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Moreland</td>\n",
       "      <td>-37.76870</td>\n",
       "      <td>144.96490</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>11918.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2862</th>\n",
       "      <td>Oakleigh</td>\n",
       "      <td>197 Huntingdale Rd</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Ray</td>\n",
       "      <td>25/02/2017</td>\n",
       "      <td>14.0</td>\n",
       "      <td>3166.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>543.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>1940.0</td>\n",
       "      <td>Monash</td>\n",
       "      <td>-37.90230</td>\n",
       "      <td>145.10500</td>\n",
       "      <td>Southern Metropolitan</td>\n",
       "      <td>3224.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3391</th>\n",
       "      <td>Maribyrnong</td>\n",
       "      <td>104 Gatehouse Pl</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>SP</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>7/05/2016</td>\n",
       "      <td>8.7</td>\n",
       "      <td>3032.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5661.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1940.0</td>\n",
       "      <td>Maribyrnong</td>\n",
       "      <td>-37.77300</td>\n",
       "      <td>144.88060</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>4918.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>Heathmont</td>\n",
       "      <td>1/34 Campbell St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>S</td>\n",
       "      <td>Fletchers</td>\n",
       "      <td>15/07/2017</td>\n",
       "      <td>21.3</td>\n",
       "      <td>3135.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>1980.0</td>\n",
       "      <td>Maroondah</td>\n",
       "      <td>-37.82118</td>\n",
       "      <td>145.24138</td>\n",
       "      <td>Eastern Metropolitan</td>\n",
       "      <td>3794.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3055</th>\n",
       "      <td>Essendon West</td>\n",
       "      <td>17 Hoffmans Rd</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Nelson</td>\n",
       "      <td>4/06/2016</td>\n",
       "      <td>9.8</td>\n",
       "      <td>3040.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>505.0</td>\n",
       "      <td>335.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Moonee Valley</td>\n",
       "      <td>-37.75180</td>\n",
       "      <td>144.88970</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>588.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2005 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Suburb             Address  Rooms Type Method        SellerG  \\\n",
       "index                                                                         \n",
       "3637     Moonee Ponds          2 Parry St      5    h      S           Brad   \n",
       "2957   Wantirna South      12/440 Stud Rd      3    u      S            Ray   \n",
       "4363       Alphington      3/19 Harker St      2    u      S          Miles   \n",
       "1837         Richmond   201/65 Stawell St      2    u     VB  hockingstuart   \n",
       "1125        Reservoir      9/99 Barton St      2    u     SP           Love   \n",
       "...               ...                 ...    ...  ...    ...            ...   \n",
       "1108        Brunswick          32 Lobb St      3    t     SP         Jellis   \n",
       "2862         Oakleigh  197 Huntingdale Rd      3    h      S            Ray   \n",
       "3391      Maribyrnong    104 Gatehouse Pl      2    u     SP         Biggin   \n",
       "335         Heathmont    1/34 Campbell St      2    u      S      Fletchers   \n",
       "3055    Essendon West      17 Hoffmans Rd      4    h      S         Nelson   \n",
       "\n",
       "             Date  Distance Postcode  Bedroom2  Bathroom  Car  Landsize  \\\n",
       "index                                                                     \n",
       "3637   27/06/2016       6.9   3039.0       4.0       1.0  2.0     739.0   \n",
       "2957   15/07/2017      14.7   3152.0       3.0       1.0  1.0     137.0   \n",
       "4363   12/11/2016       6.4   3078.0       2.0       1.0  1.0      88.0   \n",
       "1837   15/07/2017       2.4   3121.0       2.0       2.0  2.0       0.0   \n",
       "1125   13/08/2016      11.2   3073.0       2.0       1.0  1.0       0.0   \n",
       "...           ...       ...      ...       ...       ...  ...       ...   \n",
       "1108   25/02/2017       5.2   3056.0       3.0       2.0  2.0    4668.0   \n",
       "2862   25/02/2017      14.0   3166.0       3.0       1.0  2.0     543.0   \n",
       "3391    7/05/2016       8.7   3032.0       2.0       1.0  2.0    5661.0   \n",
       "335    15/07/2017      21.3   3135.0       2.0       1.0  1.0       0.0   \n",
       "3055    4/06/2016       9.8   3040.0       4.0       2.0  2.0     505.0   \n",
       "\n",
       "       BuildingArea  YearBuilt    CouncilArea  Lattitude  Longtitude  \\\n",
       "index                                                                  \n",
       "3637          155.0     1930.0  Moonee Valley  -37.76130   144.91770   \n",
       "2957           71.0     2012.0           Knox  -37.87615   145.23192   \n",
       "4363           60.0     1960.0        Darebin  -37.77910   145.03060   \n",
       "1837           89.0     2008.0          Yarra  -37.82201   145.01040   \n",
       "1125           54.0     2012.0        Darebin  -37.71120   144.99890   \n",
       "...             ...        ...            ...        ...         ...   \n",
       "1108          126.0     2011.0       Moreland  -37.76870   144.96490   \n",
       "2862          139.0     1940.0         Monash  -37.90230   145.10500   \n",
       "3391          103.0     1940.0    Maribyrnong  -37.77300   144.88060   \n",
       "335            80.0     1980.0      Maroondah  -37.82118   145.24138   \n",
       "3055          335.0     2013.0  Moonee Valley  -37.75180   144.88970   \n",
       "\n",
       "                  Regionname  Propertycount  \n",
       "index                                        \n",
       "3637    Western Metropolitan         6232.0  \n",
       "2957    Eastern Metropolitan         7082.0  \n",
       "4363   Northern Metropolitan         2211.0  \n",
       "1837   Northern Metropolitan        14949.0  \n",
       "1125   Northern Metropolitan        21650.0  \n",
       "...                      ...            ...  \n",
       "1108   Northern Metropolitan        11918.0  \n",
       "2862   Southern Metropolitan         3224.0  \n",
       "3391    Western Metropolitan         4918.0  \n",
       "335     Eastern Metropolitan         3794.0  \n",
       "3055    Western Metropolitan          588.0  \n",
       "\n",
       "[2005 rows x 20 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# # option 1 : remove those rows with nans \n",
    "cols_wiht_nans = housing.columns[housing.isna().any()].tolist()\n",
    "housing.dropna()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Suburb</th>\n",
       "      <th>Address</th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Type</th>\n",
       "      <th>Method</th>\n",
       "      <th>SellerG</th>\n",
       "      <th>Date</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>CouncilArea</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Regionname</th>\n",
       "      <th>Propertycount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3637</th>\n",
       "      <td>Moonee Ponds</td>\n",
       "      <td>2 Parry St</td>\n",
       "      <td>5</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Brad</td>\n",
       "      <td>27/06/2016</td>\n",
       "      <td>6.9</td>\n",
       "      <td>3039.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>1930.0</td>\n",
       "      <td>Moonee Valley</td>\n",
       "      <td>-37.76130</td>\n",
       "      <td>144.91770</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6232.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2957</th>\n",
       "      <td>Wantirna South</td>\n",
       "      <td>12/440 Stud Rd</td>\n",
       "      <td>3</td>\n",
       "      <td>u</td>\n",
       "      <td>S</td>\n",
       "      <td>Ray</td>\n",
       "      <td>15/07/2017</td>\n",
       "      <td>14.7</td>\n",
       "      <td>3152.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Knox</td>\n",
       "      <td>-37.87615</td>\n",
       "      <td>145.23192</td>\n",
       "      <td>Eastern Metropolitan</td>\n",
       "      <td>7082.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4363</th>\n",
       "      <td>Alphington</td>\n",
       "      <td>3/19 Harker St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>S</td>\n",
       "      <td>Miles</td>\n",
       "      <td>12/11/2016</td>\n",
       "      <td>6.4</td>\n",
       "      <td>3078.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1960.0</td>\n",
       "      <td>Darebin</td>\n",
       "      <td>-37.77910</td>\n",
       "      <td>145.03060</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>2211.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1837</th>\n",
       "      <td>Richmond</td>\n",
       "      <td>201/65 Stawell St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>VB</td>\n",
       "      <td>hockingstuart</td>\n",
       "      <td>15/07/2017</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3121.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.82201</td>\n",
       "      <td>145.01040</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>14949.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1125</th>\n",
       "      <td>Reservoir</td>\n",
       "      <td>9/99 Barton St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>SP</td>\n",
       "      <td>Love</td>\n",
       "      <td>13/08/2016</td>\n",
       "      <td>11.2</td>\n",
       "      <td>3073.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Darebin</td>\n",
       "      <td>-37.71120</td>\n",
       "      <td>144.99890</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>21650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1108</th>\n",
       "      <td>Brunswick</td>\n",
       "      <td>32 Lobb St</td>\n",
       "      <td>3</td>\n",
       "      <td>t</td>\n",
       "      <td>SP</td>\n",
       "      <td>Jellis</td>\n",
       "      <td>25/02/2017</td>\n",
       "      <td>5.2</td>\n",
       "      <td>3056.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4668.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Moreland</td>\n",
       "      <td>-37.76870</td>\n",
       "      <td>144.96490</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>11918.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2862</th>\n",
       "      <td>Oakleigh</td>\n",
       "      <td>197 Huntingdale Rd</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Ray</td>\n",
       "      <td>25/02/2017</td>\n",
       "      <td>14.0</td>\n",
       "      <td>3166.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>543.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>1940.0</td>\n",
       "      <td>Monash</td>\n",
       "      <td>-37.90230</td>\n",
       "      <td>145.10500</td>\n",
       "      <td>Southern Metropolitan</td>\n",
       "      <td>3224.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3391</th>\n",
       "      <td>Maribyrnong</td>\n",
       "      <td>104 Gatehouse Pl</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>SP</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>7/05/2016</td>\n",
       "      <td>8.7</td>\n",
       "      <td>3032.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5661.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>1940.0</td>\n",
       "      <td>Maribyrnong</td>\n",
       "      <td>-37.77300</td>\n",
       "      <td>144.88060</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>4918.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>Heathmont</td>\n",
       "      <td>1/34 Campbell St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>S</td>\n",
       "      <td>Fletchers</td>\n",
       "      <td>15/07/2017</td>\n",
       "      <td>21.3</td>\n",
       "      <td>3135.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>1980.0</td>\n",
       "      <td>Maroondah</td>\n",
       "      <td>-37.82118</td>\n",
       "      <td>145.24138</td>\n",
       "      <td>Eastern Metropolitan</td>\n",
       "      <td>3794.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3055</th>\n",
       "      <td>Essendon West</td>\n",
       "      <td>17 Hoffmans Rd</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Nelson</td>\n",
       "      <td>4/06/2016</td>\n",
       "      <td>9.8</td>\n",
       "      <td>3040.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>505.0</td>\n",
       "      <td>335.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Moonee Valley</td>\n",
       "      <td>-37.75180</td>\n",
       "      <td>144.88970</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>588.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2314 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Suburb             Address  Rooms Type Method        SellerG  \\\n",
       "index                                                                         \n",
       "3637     Moonee Ponds          2 Parry St      5    h      S           Brad   \n",
       "2957   Wantirna South      12/440 Stud Rd      3    u      S            Ray   \n",
       "4363       Alphington      3/19 Harker St      2    u      S          Miles   \n",
       "1837         Richmond   201/65 Stawell St      2    u     VB  hockingstuart   \n",
       "1125        Reservoir      9/99 Barton St      2    u     SP           Love   \n",
       "...               ...                 ...    ...  ...    ...            ...   \n",
       "1108        Brunswick          32 Lobb St      3    t     SP         Jellis   \n",
       "2862         Oakleigh  197 Huntingdale Rd      3    h      S            Ray   \n",
       "3391      Maribyrnong    104 Gatehouse Pl      2    u     SP         Biggin   \n",
       "335         Heathmont    1/34 Campbell St      2    u      S      Fletchers   \n",
       "3055    Essendon West      17 Hoffmans Rd      4    h      S         Nelson   \n",
       "\n",
       "             Date  Distance Postcode  Bedroom2  Bathroom  Car  Landsize  \\\n",
       "index                                                                     \n",
       "3637   27/06/2016       6.9   3039.0       4.0       1.0  2.0     739.0   \n",
       "2957   15/07/2017      14.7   3152.0       3.0       1.0  1.0     137.0   \n",
       "4363   12/11/2016       6.4   3078.0       2.0       1.0  1.0      88.0   \n",
       "1837   15/07/2017       2.4   3121.0       2.0       2.0  2.0       0.0   \n",
       "1125   13/08/2016      11.2   3073.0       2.0       1.0  1.0       0.0   \n",
       "...           ...       ...      ...       ...       ...  ...       ...   \n",
       "1108   25/02/2017       5.2   3056.0       3.0       2.0  2.0    4668.0   \n",
       "2862   25/02/2017      14.0   3166.0       3.0       1.0  2.0     543.0   \n",
       "3391    7/05/2016       8.7   3032.0       2.0       1.0  2.0    5661.0   \n",
       "335    15/07/2017      21.3   3135.0       2.0       1.0  1.0       0.0   \n",
       "3055    4/06/2016       9.8   3040.0       4.0       2.0  2.0     505.0   \n",
       "\n",
       "       BuildingArea  YearBuilt    CouncilArea  Lattitude  Longtitude  \\\n",
       "index                                                                  \n",
       "3637          155.0     1930.0  Moonee Valley  -37.76130   144.91770   \n",
       "2957           71.0     2012.0           Knox  -37.87615   145.23192   \n",
       "4363           60.0     1960.0        Darebin  -37.77910   145.03060   \n",
       "1837           89.0     2008.0          Yarra  -37.82201   145.01040   \n",
       "1125           54.0     2012.0        Darebin  -37.71120   144.99890   \n",
       "...             ...        ...            ...        ...         ...   \n",
       "1108          126.0     2011.0       Moreland  -37.76870   144.96490   \n",
       "2862          139.0     1940.0         Monash  -37.90230   145.10500   \n",
       "3391          103.0     1940.0    Maribyrnong  -37.77300   144.88060   \n",
       "335            80.0     1980.0      Maroondah  -37.82118   145.24138   \n",
       "3055          335.0     2013.0  Moonee Valley  -37.75180   144.88970   \n",
       "\n",
       "                  Regionname  Propertycount  \n",
       "index                                        \n",
       "3637    Western Metropolitan         6232.0  \n",
       "2957    Eastern Metropolitan         7082.0  \n",
       "4363   Northern Metropolitan         2211.0  \n",
       "1837   Northern Metropolitan        14949.0  \n",
       "1125   Northern Metropolitan        21650.0  \n",
       "...                      ...            ...  \n",
       "1108   Northern Metropolitan        11918.0  \n",
       "2862   Southern Metropolitan         3224.0  \n",
       "3391    Western Metropolitan         4918.0  \n",
       "335     Eastern Metropolitan         3794.0  \n",
       "3055    Western Metropolitan          588.0  \n",
       "\n",
       "[2314 rows x 20 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# only from a subset of columns\n",
    "cols_wiht_nans = housing.columns[housing.isna().any()].tolist()\n",
    "housing.dropna(subset=[\"BuildingArea\"])    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Suburb</th>\n",
       "      <th>Address</th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Type</th>\n",
       "      <th>Method</th>\n",
       "      <th>SellerG</th>\n",
       "      <th>Date</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Regionname</th>\n",
       "      <th>Propertycount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3637</th>\n",
       "      <td>Moonee Ponds</td>\n",
       "      <td>2 Parry St</td>\n",
       "      <td>5</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Brad</td>\n",
       "      <td>27/06/2016</td>\n",
       "      <td>6.9</td>\n",
       "      <td>3039.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>-37.76130</td>\n",
       "      <td>144.91770</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6232.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3712</th>\n",
       "      <td>Moorabbin</td>\n",
       "      <td>3/13 Perry St</td>\n",
       "      <td>3</td>\n",
       "      <td>t</td>\n",
       "      <td>S</td>\n",
       "      <td>hockingstuart</td>\n",
       "      <td>29/07/2017</td>\n",
       "      <td>14.3</td>\n",
       "      <td>3189.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>-37.93793</td>\n",
       "      <td>145.04048</td>\n",
       "      <td>Southern Metropolitan</td>\n",
       "      <td>2555.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4915</th>\n",
       "      <td>Reservoir</td>\n",
       "      <td>44 Mendip Rd</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Barry</td>\n",
       "      <td>20/05/2017</td>\n",
       "      <td>11.2</td>\n",
       "      <td>3073.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>635.0</td>\n",
       "      <td>-37.72050</td>\n",
       "      <td>145.01650</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>21650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2957</th>\n",
       "      <td>Wantirna South</td>\n",
       "      <td>12/440 Stud Rd</td>\n",
       "      <td>3</td>\n",
       "      <td>u</td>\n",
       "      <td>S</td>\n",
       "      <td>Ray</td>\n",
       "      <td>15/07/2017</td>\n",
       "      <td>14.7</td>\n",
       "      <td>3152.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>-37.87615</td>\n",
       "      <td>145.23192</td>\n",
       "      <td>Eastern Metropolitan</td>\n",
       "      <td>7082.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2115</th>\n",
       "      <td>Richmond</td>\n",
       "      <td>5/33 Goodwood St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>SP</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>8/07/2017</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3121.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-37.81977</td>\n",
       "      <td>144.99597</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>14949.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3391</th>\n",
       "      <td>Maribyrnong</td>\n",
       "      <td>104 Gatehouse Pl</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>SP</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>7/05/2016</td>\n",
       "      <td>8.7</td>\n",
       "      <td>3032.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5661.0</td>\n",
       "      <td>-37.77300</td>\n",
       "      <td>144.88060</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>4918.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>Heathmont</td>\n",
       "      <td>1/34 Campbell St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>S</td>\n",
       "      <td>Fletchers</td>\n",
       "      <td>15/07/2017</td>\n",
       "      <td>21.3</td>\n",
       "      <td>3135.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-37.82118</td>\n",
       "      <td>145.24138</td>\n",
       "      <td>Eastern Metropolitan</td>\n",
       "      <td>3794.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5338</th>\n",
       "      <td>Bayswater</td>\n",
       "      <td>85 Begonia Av</td>\n",
       "      <td>3</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>iTRAK</td>\n",
       "      <td>23/09/2017</td>\n",
       "      <td>23.2</td>\n",
       "      <td>3153.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>782.0</td>\n",
       "      <td>-37.85002</td>\n",
       "      <td>145.25964</td>\n",
       "      <td>Eastern Metropolitan</td>\n",
       "      <td>5030.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3543</th>\n",
       "      <td>Port Melbourne</td>\n",
       "      <td>202/52 Dow St</td>\n",
       "      <td>1</td>\n",
       "      <td>u</td>\n",
       "      <td>PI</td>\n",
       "      <td>Marshall</td>\n",
       "      <td>28/05/2016</td>\n",
       "      <td>3.8</td>\n",
       "      <td>3207.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-37.84310</td>\n",
       "      <td>144.94030</td>\n",
       "      <td>Southern Metropolitan</td>\n",
       "      <td>8648.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3055</th>\n",
       "      <td>Essendon West</td>\n",
       "      <td>17 Hoffmans Rd</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Nelson</td>\n",
       "      <td>4/06/2016</td>\n",
       "      <td>9.8</td>\n",
       "      <td>3040.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>505.0</td>\n",
       "      <td>-37.75180</td>\n",
       "      <td>144.88970</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>588.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4345 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Suburb           Address  Rooms Type Method        SellerG  \\\n",
       "index                                                                       \n",
       "3637     Moonee Ponds        2 Parry St      5    h      S           Brad   \n",
       "3712        Moorabbin     3/13 Perry St      3    t      S  hockingstuart   \n",
       "4915        Reservoir      44 Mendip Rd      4    h      S          Barry   \n",
       "2957   Wantirna South    12/440 Stud Rd      3    u      S            Ray   \n",
       "2115         Richmond  5/33 Goodwood St      2    u     SP         Biggin   \n",
       "...               ...               ...    ...  ...    ...            ...   \n",
       "3391      Maribyrnong  104 Gatehouse Pl      2    u     SP         Biggin   \n",
       "335         Heathmont  1/34 Campbell St      2    u      S      Fletchers   \n",
       "5338        Bayswater     85 Begonia Av      3    h      S          iTRAK   \n",
       "3543   Port Melbourne     202/52 Dow St      1    u     PI       Marshall   \n",
       "3055    Essendon West    17 Hoffmans Rd      4    h      S         Nelson   \n",
       "\n",
       "             Date  Distance Postcode  Bedroom2  Bathroom  Landsize  Lattitude  \\\n",
       "index                                                                           \n",
       "3637   27/06/2016       6.9   3039.0       4.0       1.0     739.0  -37.76130   \n",
       "3712   29/07/2017      14.3   3189.0       3.0       2.0     230.0  -37.93793   \n",
       "4915   20/05/2017      11.2   3073.0       4.0       1.0     635.0  -37.72050   \n",
       "2957   15/07/2017      14.7   3152.0       3.0       1.0     137.0  -37.87615   \n",
       "2115    8/07/2017       2.4   3121.0       2.0       1.0       0.0  -37.81977   \n",
       "...           ...       ...      ...       ...       ...       ...        ...   \n",
       "3391    7/05/2016       8.7   3032.0       2.0       1.0    5661.0  -37.77300   \n",
       "335    15/07/2017      21.3   3135.0       2.0       1.0       0.0  -37.82118   \n",
       "5338   23/09/2017      23.2   3153.0       3.0       2.0     782.0  -37.85002   \n",
       "3543   28/05/2016       3.8   3207.0       1.0       1.0       0.0  -37.84310   \n",
       "3055    4/06/2016       9.8   3040.0       4.0       2.0     505.0  -37.75180   \n",
       "\n",
       "       Longtitude             Regionname  Propertycount  \n",
       "index                                                    \n",
       "3637    144.91770   Western Metropolitan         6232.0  \n",
       "3712    145.04048  Southern Metropolitan         2555.0  \n",
       "4915    145.01650  Northern Metropolitan        21650.0  \n",
       "2957    145.23192   Eastern Metropolitan         7082.0  \n",
       "2115    144.99597  Northern Metropolitan        14949.0  \n",
       "...           ...                    ...            ...  \n",
       "3391    144.88060   Western Metropolitan         4918.0  \n",
       "335     145.24138   Eastern Metropolitan         3794.0  \n",
       "5338    145.25964   Eastern Metropolitan         5030.0  \n",
       "3543    144.94030  Southern Metropolitan         8648.0  \n",
       "3055    144.88970   Western Metropolitan          588.0  \n",
       "\n",
       "[4345 rows x 16 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## option 2 : remove those columns\n",
    "cols_wiht_nans = housing.columns[housing.isna().any()].tolist()\n",
    "housing.drop(cols_wiht_nans, axis=1)       # option 2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Suburb</th>\n",
       "      <th>Address</th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Type</th>\n",
       "      <th>Method</th>\n",
       "      <th>SellerG</th>\n",
       "      <th>Date</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>CouncilArea</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Regionname</th>\n",
       "      <th>Propertycount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3637</th>\n",
       "      <td>Moonee Ponds</td>\n",
       "      <td>2 Parry St</td>\n",
       "      <td>5</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Brad</td>\n",
       "      <td>27/06/2016</td>\n",
       "      <td>6.9</td>\n",
       "      <td>3039.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>1930.0</td>\n",
       "      <td>Moonee Valley</td>\n",
       "      <td>-37.76130</td>\n",
       "      <td>144.91770</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6232.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3712</th>\n",
       "      <td>Moorabbin</td>\n",
       "      <td>3/13 Perry St</td>\n",
       "      <td>3</td>\n",
       "      <td>t</td>\n",
       "      <td>S</td>\n",
       "      <td>hockingstuart</td>\n",
       "      <td>29/07/2017</td>\n",
       "      <td>14.3</td>\n",
       "      <td>3189.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kingston</td>\n",
       "      <td>-37.93793</td>\n",
       "      <td>145.04048</td>\n",
       "      <td>Southern Metropolitan</td>\n",
       "      <td>2555.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4915</th>\n",
       "      <td>Reservoir</td>\n",
       "      <td>44 Mendip Rd</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Barry</td>\n",
       "      <td>20/05/2017</td>\n",
       "      <td>11.2</td>\n",
       "      <td>3073.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>635.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Darebin</td>\n",
       "      <td>-37.72050</td>\n",
       "      <td>145.01650</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>21650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2957</th>\n",
       "      <td>Wantirna South</td>\n",
       "      <td>12/440 Stud Rd</td>\n",
       "      <td>3</td>\n",
       "      <td>u</td>\n",
       "      <td>S</td>\n",
       "      <td>Ray</td>\n",
       "      <td>15/07/2017</td>\n",
       "      <td>14.7</td>\n",
       "      <td>3152.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Knox</td>\n",
       "      <td>-37.87615</td>\n",
       "      <td>145.23192</td>\n",
       "      <td>Eastern Metropolitan</td>\n",
       "      <td>7082.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2115</th>\n",
       "      <td>Richmond</td>\n",
       "      <td>5/33 Goodwood St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>SP</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>8/07/2017</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3121.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.81977</td>\n",
       "      <td>144.99597</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>14949.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Suburb           Address  Rooms Type Method        SellerG  \\\n",
       "index                                                                       \n",
       "3637     Moonee Ponds        2 Parry St      5    h      S           Brad   \n",
       "3712        Moorabbin     3/13 Perry St      3    t      S  hockingstuart   \n",
       "4915        Reservoir      44 Mendip Rd      4    h      S          Barry   \n",
       "2957   Wantirna South    12/440 Stud Rd      3    u      S            Ray   \n",
       "2115         Richmond  5/33 Goodwood St      2    u     SP         Biggin   \n",
       "\n",
       "             Date  Distance Postcode  Bedroom2  Bathroom  Car  Landsize  \\\n",
       "index                                                                     \n",
       "3637   27/06/2016       6.9   3039.0       4.0       1.0  2.0     739.0   \n",
       "3712   29/07/2017      14.3   3189.0       3.0       2.0  2.0     230.0   \n",
       "4915   20/05/2017      11.2   3073.0       4.0       1.0  3.0     635.0   \n",
       "2957   15/07/2017      14.7   3152.0       3.0       1.0  1.0     137.0   \n",
       "2115    8/07/2017       2.4   3121.0       2.0       1.0  1.0       0.0   \n",
       "\n",
       "       BuildingArea  YearBuilt    CouncilArea  Lattitude  Longtitude  \\\n",
       "index                                                                  \n",
       "3637          155.0     1930.0  Moonee Valley  -37.76130   144.91770   \n",
       "3712          125.0        NaN       Kingston  -37.93793   145.04048   \n",
       "4915          125.0        NaN        Darebin  -37.72050   145.01650   \n",
       "2957           71.0     2012.0           Knox  -37.87615   145.23192   \n",
       "2115          125.0     1970.0          Yarra  -37.81977   144.99597   \n",
       "\n",
       "                  Regionname  Propertycount  \n",
       "index                                        \n",
       "3637    Western Metropolitan         6232.0  \n",
       "3712   Southern Metropolitan         2555.0  \n",
       "4915   Northern Metropolitan        21650.0  \n",
       "2957    Eastern Metropolitan         7082.0  \n",
       "2115   Northern Metropolitan        14949.0  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## option 3 : Set values to some values\n",
    "median = housing[\"BuildingArea\"].median()\n",
    "housing[\"BuildingArea\"].fillna(median, inplace=True) \n",
    "housing.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Method</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3637</th>\n",
       "      <td>Moonee Ponds</td>\n",
       "      <td>2 Parry St</td>\n",
       "      <td>5</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Brad</td>\n",
       "      <td>27/06/2016</td>\n",
       "      <td>6.9</td>\n",
       "      <td>3039.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>1930.0</td>\n",
       "      <td>Moonee Valley</td>\n",
       "      <td>-37.76130</td>\n",
       "      <td>144.91770</td>\n",
       "      <td>Western Metropolitan</td>\n",
       "      <td>6232.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3712</th>\n",
       "      <td>Moorabbin</td>\n",
       "      <td>3/13 Perry St</td>\n",
       "      <td>3</td>\n",
       "      <td>t</td>\n",
       "      <td>S</td>\n",
       "      <td>hockingstuart</td>\n",
       "      <td>29/07/2017</td>\n",
       "      <td>14.3</td>\n",
       "      <td>3189.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>Kingston</td>\n",
       "      <td>-37.93793</td>\n",
       "      <td>145.04048</td>\n",
       "      <td>Southern Metropolitan</td>\n",
       "      <td>2555.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4915</th>\n",
       "      <td>Reservoir</td>\n",
       "      <td>44 Mendip Rd</td>\n",
       "      <td>4</td>\n",
       "      <td>h</td>\n",
       "      <td>S</td>\n",
       "      <td>Barry</td>\n",
       "      <td>20/05/2017</td>\n",
       "      <td>11.2</td>\n",
       "      <td>3073.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>635.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>Darebin</td>\n",
       "      <td>-37.72050</td>\n",
       "      <td>145.01650</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>21650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2957</th>\n",
       "      <td>Wantirna South</td>\n",
       "      <td>12/440 Stud Rd</td>\n",
       "      <td>3</td>\n",
       "      <td>u</td>\n",
       "      <td>S</td>\n",
       "      <td>Ray</td>\n",
       "      <td>15/07/2017</td>\n",
       "      <td>14.7</td>\n",
       "      <td>3152.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Knox</td>\n",
       "      <td>-37.87615</td>\n",
       "      <td>145.23192</td>\n",
       "      <td>Eastern Metropolitan</td>\n",
       "      <td>7082.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2115</th>\n",
       "      <td>Richmond</td>\n",
       "      <td>5/33 Goodwood St</td>\n",
       "      <td>2</td>\n",
       "      <td>u</td>\n",
       "      <td>SP</td>\n",
       "      <td>Biggin</td>\n",
       "      <td>8/07/2017</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3121.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>Yarra</td>\n",
       "      <td>-37.81977</td>\n",
       "      <td>144.99597</td>\n",
       "      <td>Northern Metropolitan</td>\n",
       "      <td>14949.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Suburb           Address  Rooms Type Method        SellerG  \\\n",
       "index                                                                       \n",
       "3637     Moonee Ponds        2 Parry St      5    h      S           Brad   \n",
       "3712        Moorabbin     3/13 Perry St      3    t      S  hockingstuart   \n",
       "4915        Reservoir      44 Mendip Rd      4    h      S          Barry   \n",
       "2957   Wantirna South    12/440 Stud Rd      3    u      S            Ray   \n",
       "2115         Richmond  5/33 Goodwood St      2    u     SP         Biggin   \n",
       "\n",
       "             Date  Distance Postcode  Bedroom2  Bathroom  Car  Landsize  \\\n",
       "index                                                                     \n",
       "3637   27/06/2016       6.9   3039.0       4.0       1.0  2.0     739.0   \n",
       "3712   29/07/2017      14.3   3189.0       3.0       2.0  2.0     230.0   \n",
       "4915   20/05/2017      11.2   3073.0       4.0       1.0  3.0     635.0   \n",
       "2957   15/07/2017      14.7   3152.0       3.0       1.0  1.0     137.0   \n",
       "2115    8/07/2017       2.4   3121.0       2.0       1.0  1.0       0.0   \n",
       "\n",
       "       BuildingArea  YearBuilt    CouncilArea  Lattitude  Longtitude  \\\n",
       "index                                                                  \n",
       "3637          155.0     1930.0  Moonee Valley  -37.76130   144.91770   \n",
       "3712          125.0     1970.0       Kingston  -37.93793   145.04048   \n",
       "4915          125.0     1970.0        Darebin  -37.72050   145.01650   \n",
       "2957           71.0     2012.0           Knox  -37.87615   145.23192   \n",
       "2115          125.0     1970.0          Yarra  -37.81977   144.99597   \n",
       "\n",
       "                  Regionname  Propertycount  \n",
       "index                                        \n",
       "3637    Western Metropolitan         6232.0  \n",
       "3712   Southern Metropolitan         2555.0  \n",
       "4915   Northern Metropolitan        21650.0  \n",
       "2957    Eastern Metropolitan         7082.0  \n",
       "2115   Northern Metropolitan        14949.0  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "median = housing[\"YearBuilt\"].median()\n",
    "housing[\"YearBuilt\"].fillna(median, inplace=True) \n",
    "housing.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.impute import SimpleImputer\n",
    "imputer = SimpleImputer(strategy=\"median\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remove the text attribute because median can only be calculated on numerical attributes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_num = housing.select_dtypes(include=[np.number])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 3.000000e+00,  9.200000e+00,  3.000000e+00,  1.000000e+00,\n",
       "        2.000000e+00,  4.430000e+02,  1.250000e+02,  1.970000e+03,\n",
       "       -3.780274e+01,  1.450006e+02,  6.482000e+03])"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imputer.fit(housing_num)\n",
    "imputer.statistics_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check that this is the same as manually computing the median of each attribute:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 3.000000e+00,  9.200000e+00,  3.000000e+00,  1.000000e+00,\n",
       "        2.000000e+00,  4.430000e+02,  1.250000e+02,  1.970000e+03,\n",
       "       -3.780274e+01,  1.450006e+02,  6.482000e+03])"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_num.median().values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Transform the training set:\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = imputer.transform(housing_num)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_tr = pd.DataFrame(X, columns=housing_num.columns,\n",
    "                          index=housing.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Propertycount</th>\n",
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       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3712</th>\n",
       "      <td>3.0</td>\n",
       "      <td>14.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>-37.93793</td>\n",
       "      <td>145.04048</td>\n",
       "      <td>2555.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4915</th>\n",
       "      <td>4.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>635.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>-37.72050</td>\n",
       "      <td>145.01650</td>\n",
       "      <td>21650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2115</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>-37.81977</td>\n",
       "      <td>144.99597</td>\n",
       "      <td>14949.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3837</th>\n",
       "      <td>3.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>-37.84470</td>\n",
       "      <td>144.86540</td>\n",
       "      <td>5498.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2736</th>\n",
       "      <td>2.0</td>\n",
       "      <td>4.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>-37.84139</td>\n",
       "      <td>145.00678</td>\n",
       "      <td>7217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1217</th>\n",
       "      <td>5.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>857.0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>-37.79773</td>\n",
       "      <td>145.26956</td>\n",
       "      <td>11925.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5181</th>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>-37.76292</td>\n",
       "      <td>144.97975</td>\n",
       "      <td>5533.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>3.0</td>\n",
       "      <td>8.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>696.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>-37.78320</td>\n",
       "      <td>144.88640</td>\n",
       "      <td>4918.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5338</th>\n",
       "      <td>3.0</td>\n",
       "      <td>23.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>782.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>-37.85002</td>\n",
       "      <td>145.25964</td>\n",
       "      <td>5030.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3543</th>\n",
       "      <td>1.0</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>-37.84310</td>\n",
       "      <td>144.94030</td>\n",
       "      <td>8648.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2340 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Rooms  Distance  Bedroom2  Bathroom  Car  Landsize  BuildingArea  \\\n",
       "index                                                                     \n",
       "3712     3.0      14.3       3.0       2.0  2.0     230.0         125.0   \n",
       "4915     4.0      11.2       4.0       1.0  3.0     635.0         125.0   \n",
       "2115     2.0       2.4       2.0       1.0  1.0       0.0         125.0   \n",
       "3837     3.0       8.4       3.0       2.0  2.0       0.0         125.0   \n",
       "2736     2.0       4.1       2.0       2.0  1.0       0.0         125.0   \n",
       "...      ...       ...       ...       ...  ...       ...           ...   \n",
       "1217     5.0      23.0       5.0       3.0  3.0     857.0         285.0   \n",
       "5181     3.0       4.0       3.0       2.0  1.0     138.0         122.0   \n",
       "391      3.0       8.7       3.0       1.0  2.0     696.0         125.0   \n",
       "5338     3.0      23.2       3.0       2.0  4.0     782.0         125.0   \n",
       "3543     1.0       3.8       1.0       1.0  1.0       0.0         125.0   \n",
       "\n",
       "       YearBuilt  Lattitude  Longtitude  Propertycount  \n",
       "index                                                   \n",
       "3712      1970.0  -37.93793   145.04048         2555.0  \n",
       "4915      1970.0  -37.72050   145.01650        21650.0  \n",
       "2115      1970.0  -37.81977   144.99597        14949.0  \n",
       "3837      2013.0  -37.84470   144.86540         5498.0  \n",
       "2736      1970.0  -37.84139   145.00678         7217.0  \n",
       "...          ...        ...         ...            ...  \n",
       "1217      2012.0  -37.79773   145.26956        11925.0  \n",
       "5181      1998.0  -37.76292   144.97975         5533.0  \n",
       "391       1970.0  -37.78320   144.88640         4918.0  \n",
       "5338      1970.0  -37.85002   145.25964         5030.0  \n",
       "3543      1970.0  -37.84310   144.94030         8648.0  \n",
       "\n",
       "[2340 rows x 11 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_tr.loc[sample_incomplete_rows.index.values]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'median'"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imputer.strategy\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_tr = pd.DataFrame(X, columns=housing_num.columns,\n",
    "                          index=housing_num.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Propertycount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3637</th>\n",
       "      <td>5.0</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>1930.0</td>\n",
       "      <td>-37.76130</td>\n",
       "      <td>144.91770</td>\n",
       "      <td>6232.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3712</th>\n",
       "      <td>3.0</td>\n",
       "      <td>14.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>-37.93793</td>\n",
       "      <td>145.04048</td>\n",
       "      <td>2555.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4915</th>\n",
       "      <td>4.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>635.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>-37.72050</td>\n",
       "      <td>145.01650</td>\n",
       "      <td>21650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2957</th>\n",
       "      <td>3.0</td>\n",
       "      <td>14.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>-37.87615</td>\n",
       "      <td>145.23192</td>\n",
       "      <td>7082.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2115</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>-37.81977</td>\n",
       "      <td>144.99597</td>\n",
       "      <td>14949.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Rooms  Distance  Bedroom2  Bathroom  Car  Landsize  BuildingArea  \\\n",
       "index                                                                     \n",
       "3637     5.0       6.9       4.0       1.0  2.0     739.0         155.0   \n",
       "3712     3.0      14.3       3.0       2.0  2.0     230.0         125.0   \n",
       "4915     4.0      11.2       4.0       1.0  3.0     635.0         125.0   \n",
       "2957     3.0      14.7       3.0       1.0  1.0     137.0          71.0   \n",
       "2115     2.0       2.4       2.0       1.0  1.0       0.0         125.0   \n",
       "\n",
       "       YearBuilt  Lattitude  Longtitude  Propertycount  \n",
       "index                                                   \n",
       "3637      1930.0  -37.76130   144.91770         6232.0  \n",
       "3712      1970.0  -37.93793   145.04048         2555.0  \n",
       "4915      1970.0  -37.72050   145.01650        21650.0  \n",
       "2957      2012.0  -37.87615   145.23192         7082.0  \n",
       "2115      1970.0  -37.81977   144.99597        14949.0  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_tr.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Categorical data\n",
    "\n",
    "Now let's preprocess the categorical input feature, CouncilArea:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CouncilArea</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3637</th>\n",
       "      <td>Moonee Valley</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3712</th>\n",
       "      <td>Kingston</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4915</th>\n",
       "      <td>Darebin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2957</th>\n",
       "      <td>Knox</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2115</th>\n",
       "      <td>Yarra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3837</th>\n",
       "      <td>Hobsons Bay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4363</th>\n",
       "      <td>Darebin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1837</th>\n",
       "      <td>Yarra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2736</th>\n",
       "      <td>Stonnington</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1125</th>\n",
       "      <td>Darebin</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         CouncilArea\n",
       "index               \n",
       "3637   Moonee Valley\n",
       "3712        Kingston\n",
       "4915         Darebin\n",
       "2957            Knox\n",
       "2115           Yarra\n",
       "3837     Hobsons Bay\n",
       "4363         Darebin\n",
       "1837           Yarra\n",
       "2736     Stonnington\n",
       "1125         Darebin"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_cat = housing[[\"CouncilArea\"]]\n",
    "# There is missing values in this category, we will create a new cateogry for those.\n",
    "housing_cat.fillna('Unknown').head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[21.],\n",
       "       [12.],\n",
       "       [ 6.],\n",
       "       [13.],\n",
       "       [31.],\n",
       "       [10.],\n",
       "       [ 6.],\n",
       "       [31.],\n",
       "       [25.],\n",
       "       [ 6.]])"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import OrdinalEncoder\n",
    "\n",
    "ordinal_encoder = OrdinalEncoder()\n",
    "housing_cat_encoded = ordinal_encoder.fit_transform(housing_cat.fillna('Unknown'))\n",
    "housing_cat_encoded[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array(['Banyule', 'Bayside', 'Boroondara', 'Brimbank', 'Cardinia',\n",
       "        'Casey', 'Darebin', 'Frankston', 'Glen Eira', 'Greater Dandenong',\n",
       "        'Hobsons Bay', 'Hume', 'Kingston', 'Knox', 'Macedon Ranges',\n",
       "        'Manningham', 'Maribyrnong', 'Maroondah', 'Melbourne', 'Melton',\n",
       "        'Monash', 'Moonee Valley', 'Moreland', 'Nillumbik', 'Port Phillip',\n",
       "        'Stonnington', 'Unavailable', 'Unknown', 'Whitehorse',\n",
       "        'Whittlesea', 'Wyndham', 'Yarra', 'Yarra Ranges'], dtype=object)]"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ordinal_encoder.categories_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<4345x33 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 4345 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import OneHotEncoder\n",
    "\n",
    "cat_encoder = OneHotEncoder(handle_unknown='ignore')\n",
    "housing_cat_1hot = cat_encoder.fit_transform(housing_cat.fillna('Unknown'))\n",
    "housing_cat_1hot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_cat_1hot.toarray()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternatively, you can set sparse=False when creating the OneHotEncoder:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]])"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_encoder = OneHotEncoder(sparse=False,handle_unknown='ignore')\n",
    "housing_cat_1hot = cat_encoder.fit_transform(housing_cat.fillna('Unknown'))\n",
    "housing_cat_1hot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array(['Banyule', 'Bayside', 'Boroondara', 'Brimbank', 'Cardinia',\n",
       "        'Casey', 'Darebin', 'Frankston', 'Glen Eira', 'Greater Dandenong',\n",
       "        'Hobsons Bay', 'Hume', 'Kingston', 'Knox', 'Macedon Ranges',\n",
       "        'Manningham', 'Maribyrnong', 'Maroondah', 'Melbourne', 'Melton',\n",
       "        'Monash', 'Moonee Valley', 'Moreland', 'Nillumbik', 'Port Phillip',\n",
       "        'Stonnington', 'Unavailable', 'Unknown', 'Whitehorse',\n",
       "        'Whittlesea', 'Wyndham', 'Yarra', 'Yarra Ranges'], dtype=object)]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_encoder.categories_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's create a custom transformer to add extra attributes:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.base import BaseEstimator, TransformerMixin\n",
    "\n",
    "# column index\n",
    "Rooms_ix, Bedroom2_ix, Bathroom_ix, BuildingArea_ix = 0, 2, 3, 6\n",
    "\n",
    "class CombinedAttributesAdder(BaseEstimator, TransformerMixin):\n",
    "    def __init__(self, add_bedrooms_per_room = True): # no *args or **kargs\n",
    "        self.add_bedrooms_per_room = add_bedrooms_per_room\n",
    "        \n",
    "    def fit(self, X, y=None):\n",
    "        return self  # nothing else to do\n",
    "    \n",
    "    def transform(self, X):\n",
    "        rooms_per_building_area = X[:, Rooms_ix] / (1.0 +X[:, BuildingArea_ix])# add 1 to avoid 0 division\n",
    "        if self.add_bedrooms_per_room:\n",
    "            bedrooms_per_room = X[:, Bedroom2_ix] / (1.0 + X[:, Bathroom_ix]) # add 1 to avoid 0 division\n",
    "            return np.c_[X, rooms_per_building_area, bedrooms_per_room]\n",
    "        else:\n",
    "            return np.c_[X, rooms_per_building_area]\n",
    "        \n",
    "\n",
    "attr_adder = CombinedAttributesAdder(add_bedrooms_per_room=True)\n",
    "housing_extra_attribs = attr_adder.transform(housing_num.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rooms</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Bedroom2</th>\n",
       "      <th>Bathroom</th>\n",
       "      <th>Car</th>\n",
       "      <th>Landsize</th>\n",
       "      <th>BuildingArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longtitude</th>\n",
       "      <th>Propertycount</th>\n",
       "      <th>rooms_per_building_area</th>\n",
       "      <th>bedrooms_per_room</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3637</th>\n",
       "      <td>5.0</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>1930.0</td>\n",
       "      <td>-37.76130</td>\n",
       "      <td>144.91770</td>\n",
       "      <td>6232.0</td>\n",
       "      <td>0.032051</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3712</th>\n",
       "      <td>3.0</td>\n",
       "      <td>14.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>-37.93793</td>\n",
       "      <td>145.04048</td>\n",
       "      <td>2555.0</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4915</th>\n",
       "      <td>4.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>635.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>-37.72050</td>\n",
       "      <td>145.01650</td>\n",
       "      <td>21650.0</td>\n",
       "      <td>0.031746</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2957</th>\n",
       "      <td>3.0</td>\n",
       "      <td>14.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>-37.87615</td>\n",
       "      <td>145.23192</td>\n",
       "      <td>7082.0</td>\n",
       "      <td>0.041667</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2115</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>-37.81977</td>\n",
       "      <td>144.99597</td>\n",
       "      <td>14949.0</td>\n",
       "      <td>0.015873</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Rooms  Distance  Bedroom2  Bathroom  Car  Landsize  BuildingArea  \\\n",
       "index                                                                     \n",
       "3637     5.0       6.9       4.0       1.0  2.0     739.0         155.0   \n",
       "3712     3.0      14.3       3.0       2.0  2.0     230.0         125.0   \n",
       "4915     4.0      11.2       4.0       1.0  3.0     635.0         125.0   \n",
       "2957     3.0      14.7       3.0       1.0  1.0     137.0          71.0   \n",
       "2115     2.0       2.4       2.0       1.0  1.0       0.0         125.0   \n",
       "\n",
       "       YearBuilt  Lattitude  Longtitude  Propertycount  \\\n",
       "index                                                    \n",
       "3637      1930.0  -37.76130   144.91770         6232.0   \n",
       "3712      1970.0  -37.93793   145.04048         2555.0   \n",
       "4915      1970.0  -37.72050   145.01650        21650.0   \n",
       "2957      2012.0  -37.87615   145.23192         7082.0   \n",
       "2115      1970.0  -37.81977   144.99597        14949.0   \n",
       "\n",
       "       rooms_per_building_area  bedrooms_per_room  \n",
       "index                                              \n",
       "3637                  0.032051                2.0  \n",
       "3712                  0.023810                1.0  \n",
       "4915                  0.031746                2.0  \n",
       "2957                  0.041667                1.5  \n",
       "2115                  0.015873                1.0  "
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_extra_attribs = pd.DataFrame(\n",
    "    housing_extra_attribs,\n",
    "    columns=list(housing_num.columns)+[\"rooms_per_building_area\", \"bedrooms_per_room\"],\n",
    "    index=housing.index)\n",
    "housing_extra_attribs.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's build a pipeline for preprocessing the numerical attributes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-79-22183b51f212>:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  data[data == 0] = np.nan\n",
      "/Users/santisegui/opt/anaconda3/lib/python3.8/site-packages/pandas/core/frame.py:3215: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._where(-key, value, inplace=True)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.preprocessing import FunctionTransformer\n",
    "\n",
    "\n",
    "## create a function to replace 0 by NaN\n",
    "def replace_0_2_NaN(data):\n",
    "    data[data == 0] = np.nan\n",
    "    return data\n",
    "\n",
    "\n",
    "num0_pipeline = Pipeline([\n",
    "        ('zeros2NaN',FunctionTransformer(func = replace_0_2_NaN,validate=False)),\n",
    "        ('imputer', SimpleImputer(strategy=\"median\")),\n",
    "        ('log',FunctionTransformer(np.log1p, validate=True)),\n",
    "        ('std_scaler', StandardScaler()),\n",
    "    ])\n",
    "\n",
    "housing_num_tr = num0_pipeline.fit_transform(housing[['BuildingArea','Landsize']])\n",
    "plt.hist(housing_num_tr,bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_pipeline = Pipeline([\n",
    "        ('imputer', SimpleImputer(strategy=\"median\")),\n",
    "        ('attribs_adder', CombinedAttributesAdder()),\n",
    "        ('std_scaler', StandardScaler()),\n",
    "    ])\n",
    "\n",
    "housing_num_tr = num_pipeline.fit_transform(housing_num)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 2.1751659 , -0.55294835,  1.08797617, ..., -0.25530569,\n",
       "         0.01141637,  2.24697395],\n",
       "       [ 0.07047915,  0.66591486,  0.08495125, ..., -1.10169035,\n",
       "        -0.05001502, -0.46743492],\n",
       "       [ 1.12282252,  0.15531   ,  1.08797617, ...,  3.29366321,\n",
       "         0.00914114,  2.24697395],\n",
       "       ...,\n",
       "       [ 0.07047915,  2.13184494,  0.08495125, ..., -0.53198623,\n",
       "        -0.05001502, -0.46743492],\n",
       "       [-2.03420759, -1.06355321, -1.9210986 , ...,  0.3008176 ,\n",
       "        -0.16832733, -1.82463936],\n",
       "       [ 1.12282252, -0.07528574,  1.08797617, ..., -1.55446125,\n",
       "        -0.13874925,  0.43736804]])"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_num_tr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat_pipeline = Pipeline([\n",
    "        ('imputer', SimpleImputer(strategy=\"constant\",fill_value='Unknown')),\n",
    "        ('one_hot_encoder', OneHotEncoder(handle_unknown='ignore')),\n",
    "    ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<4345x517 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 82555 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.compose import ColumnTransformer\n",
    "\n",
    "num_attribs0 = ['Landsize','BuildingArea']\n",
    "num_attribs1 = list(housing_num)\n",
    "cat_attribs = [\"CouncilArea\",'Type','Suburb','Postcode']\n",
    "\n",
    "\n",
    "full_pipeline = ColumnTransformer([\n",
    "        (\"num0\", num0_pipeline, num_attribs0),\n",
    "        (\"num1\", num_pipeline, num_attribs1),\n",
    "        (\"cat\", cat_pipeline, cat_attribs),\n",
    "    ])\n",
    "\n",
    "housing_prepared = full_pipeline.fit_transform(housing)\n",
    "\n",
    "housing_prepared"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Select and train a model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "lin_reg = LinearRegression()\n",
    "lin_reg.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predictions: [1677142.64735385  850775.8179422  1143771.45888851  185941.0897996\n",
      "  649976.51946286 1001344.00601464  518150.4523128   762476.25364552\n",
      " 1419327.08700199  -33811.91665773  945500.81205697 1452067.26516665\n",
      "  729306.033592   -321517.47750881  429678.17251293  792186.41259399\n",
      " 1102649.12619106 1093477.57534025  786667.57455213   40044.32535712\n",
      " 1512439.90768815  682996.63861401 1586969.90779145 1139688.47978841\n",
      "  604252.06936436]\n"
     ]
    }
   ],
   "source": [
    "# let's try the full preprocessing pipeline on a few training instances\n",
    "some_data = housing.iloc[:25]\n",
    "some_labels = housing_labels.iloc[:25]\n",
    "some_data_prepared = full_pipeline.transform(some_data)\n",
    "\n",
    "print(\"Predictions:\", lin_reg.predict(some_data_prepared))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compare against the actual values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Labels: [1740000.0, 920000.0, 930000.0, 622000.0, 630000.0, 785000.0, 525500.0, 800000.0, 920000.0, 335000.0, 680000.0, 1660000.0, 595999.0, 315000.0, 597500.0, 601000.0, 1080000.0, 1250000.0, 650000.0, 282000.0, 1651000.0, 740000.0, 1490000.0, 1035000.0, 705000.0]\n"
     ]
    }
   ],
   "source": [
    "print(\"Labels:\", list(some_labels))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f83a9703df0>"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(lin_reg.predict(some_data_prepared),list(some_labels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<25x517 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 475 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "some_data_prepared\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "349528.7191375039"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "housing_predictions = lin_reg.predict(housing_prepared)\n",
    "lin_mse = mean_squared_error(housing_labels, housing_predictions)\n",
    "lin_rmse = np.sqrt(lin_mse)\n",
    "lin_rmse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "224961.58419823894"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import mean_absolute_error\n",
    "\n",
    "lin_mae = mean_absolute_error(housing_labels, housing_predictions)\n",
    "lin_mae"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsRegressor(n_neighbors=3)"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## K-Nearest Neighbour\n",
    "from sklearn import neighbors\n",
    "\n",
    "n_neighbors = 3\n",
    "knn_reg = neighbors.KNeighborsRegressor(n_neighbors)\n",
    "knn_reg.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "252105.49248977262"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_predictions = knn_reg.predict(housing_prepared)\n",
    "knn_mse = mean_squared_error(housing_labels, housing_predictions)\n",
    "knn_rmse = np.sqrt(knn_mse)\n",
    "knn_rmse\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeRegressor(random_state=42)"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Decision Tree\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "\n",
    "tree_reg = DecisionTreeRegressor(random_state=42)\n",
    "tree_reg.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4084.466995428806"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_predictions = tree_reg.predict(housing_prepared)\n",
    "tree_mse = mean_squared_error(housing_labels, housing_predictions)\n",
    "tree_rmse = np.sqrt(tree_mse)\n",
    "tree_rmse"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fine-tune your model\n",
    "\n",
    "Find the best parameters for your model. In order to do so, we will use the 10-fold cross-validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "scores = cross_val_score(tree_reg, housing_prepared, housing_labels,\n",
    "                         scoring=\"neg_root_mean_squared_error\", cv=10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---- Decision Tree ----\n",
      "Mean: 419124.90232771856\n",
      "Standard deviation: 35328.81480926059\n"
     ]
    }
   ],
   "source": [
    "def display_scores(scores,model_name = None):\n",
    "    if(model_name):\n",
    "        print(\"----\",model_name,\"----\")\n",
    "    print(\"Mean:\", scores.mean())\n",
    "    print(\"Standard deviation:\", scores.std())\n",
    "\n",
    "display_scores(-scores,'Decision Tree')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---- Linear Regression ----\n",
      "Mean: 374370.78279614804\n",
      "Standard deviation: 49778.25361495829\n"
     ]
    }
   ],
   "source": [
    "lin_scores = cross_val_score(lin_reg, housing_prepared, housing_labels,\n",
    "                             scoring=\"neg_root_mean_squared_error\", cv=10)\n",
    "display_scores(-lin_scores,'Linear Regression')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---- Knn Regression ----\n",
      "Mean: 369243.27783302835\n",
      "Standard deviation: 45908.9732695163\n"
     ]
    }
   ],
   "source": [
    "knn_scores = cross_val_score(knn_reg, housing_prepared, housing_labels,\n",
    "                             scoring=\"neg_root_mean_squared_error\", cv=10)\n",
    "display_scores(-knn_scores,'Knn Regression')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(n_estimators=20, random_state=42)"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Let's try another model: Random Forest\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "forest_reg = RandomForestRegressor(n_estimators=20, random_state=42)\n",
    "forest_reg.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "123658.5088592805"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_predictions = forest_reg.predict(housing_prepared)\n",
    "forest_mse = mean_squared_error(housing_labels, housing_predictions)\n",
    "forest_rmse = np.sqrt(forest_mse)\n",
    "forest_rmse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---- Random Forest ----\n",
      "Mean: 308537.58703090734\n",
      "Standard deviation: 45938.83246838467\n"
     ]
    }
   ],
   "source": [
    "forest_scores = cross_val_score(forest_reg, housing_prepared, housing_labels,\n",
    "                                scoring=\"neg_root_mean_squared_error\", cv=10)\n",
    "display_scores(-forest_scores, 'Random Forest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "scores = cross_val_score(lin_reg, housing_prepared, housing_labels, scoring=\"neg_root_mean_squared_error\", cv=10)\n",
    "results = pd.Series(-scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count        10.000000\n",
       "mean     374370.782796\n",
       "std       52470.886456\n",
       "min      300221.917268\n",
       "25%      350339.590000\n",
       "50%      372601.884581\n",
       "75%      394882.735451\n",
       "max      458265.205148\n",
       "dtype: float64"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.boxplot(results)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "661823.987573521"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import SVR\n",
    "\n",
    "svm_reg = SVR(kernel=\"linear\")\n",
    "svm_reg.fit(housing_prepared, housing_labels)\n",
    "housing_predictions = svm_reg.predict(housing_prepared)\n",
    "svm_mse = mean_squared_error(housing_labels, housing_predictions)\n",
    "svm_rmse = np.sqrt(svm_mse)\n",
    "svm_rmse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---- lin_reg ----\n",
      "Mean: 374370.78279614804\n",
      "Standard deviation: 49778.25361495829\n",
      "---- Decision Tree ----\n",
      "Mean: 419124.90232771856\n",
      "Standard deviation: 35328.81480926059\n",
      "---- KNN-Regressor ----\n",
      "Mean: 369243.27783302835\n",
      "Standard deviation: 45908.9732695163\n",
      "---- Random Forest ----\n",
      "Mean: 308537.58703090734\n",
      "Standard deviation: 45938.83246838467\n",
      "---- SVM Regressor ----\n",
      "Mean: 660160.5403351302\n",
      "Standard deviation: 54099.02711165886\n"
     ]
    }
   ],
   "source": [
    "## lets comare all of them \n",
    "\n",
    "models = [(lin_reg,\"lin_reg\"),\n",
    "          (tree_reg,\"Decision Tree\"),\n",
    "          (knn_reg,\"KNN-Regressor\"),\n",
    "          (forest_reg,'Random Forest'),\n",
    "          (svm_reg,'SVM Regressor')]\n",
    "for model in models:\n",
    "    scores = cross_val_score(model[0], housing_prepared, housing_labels, scoring=\"neg_root_mean_squared_error\", cv=10)\n",
    "    display_scores(-scores, model[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Random forest looks to be the best model, but this model has several parametrs. Lets find the best parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, estimator=RandomForestRegressor(random_state=42),\n",
       "             param_grid=[{'max_depth': [3, 5, 7, 10],\n",
       "                          'max_features': [2, 4, 6, 8],\n",
       "                          'n_estimators': [3, 10, 30]},\n",
       "                         {'bootstrap': [False], 'max_features': [2, 3, 4],\n",
       "                          'n_estimators': [3, 10]}],\n",
       "             return_train_score=True, scoring='neg_root_mean_squared_error')"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "param_grid = [\n",
    "    # try 12 (3×4) combinations of hyperparameters\n",
    "    {'n_estimators': [3, 10, 30], 'max_features': [2, 4, 6, 8], 'max_depth':[3,5,7,10]},\n",
    "    # then try 6 (2×3) combinations with bootstrap set as False\n",
    "    {'bootstrap': [False], 'n_estimators': [3, 10], 'max_features': [2, 3, 4]},\n",
    "  ]\n",
    "\n",
    "forest_reg = RandomForestRegressor(random_state=42)\n",
    "# train across 5 folds, that's a total of (12+6)*5=90 rounds of training \n",
    "grid_search = GridSearchCV(forest_reg, param_grid, cv=5,\n",
    "                           scoring='neg_root_mean_squared_error',\n",
    "                           return_train_score=True)\n",
    "grid_search.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the best parameters are:\n",
      "{'bootstrap': False, 'max_features': 4, 'n_estimators': 10}\n"
     ]
    }
   ],
   "source": [
    "print(\"the best parameters are:\")\n",
    "print(grid_search.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best Score\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "578.4963676502243"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Best Score\")\n",
    "np.sqrt(-grid_search.best_score_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the best trained model:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=False, max_features=4, n_estimators=10,\n",
       "                      random_state=42)"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"the best trained model:\")\n",
    "grid_search.best_estimator_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at the score of each hyperparameter combination tested during the grid search:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "620185.6371683435 {'max_depth': 3, 'max_features': 2, 'n_estimators': 3}\n",
      "630798.0699328638 {'max_depth': 3, 'max_features': 2, 'n_estimators': 10}\n",
      "627451.6818258499 {'max_depth': 3, 'max_features': 2, 'n_estimators': 30}\n",
      "624331.4192554378 {'max_depth': 3, 'max_features': 4, 'n_estimators': 3}\n",
      "632502.7165589372 {'max_depth': 3, 'max_features': 4, 'n_estimators': 10}\n",
      "620679.3276074847 {'max_depth': 3, 'max_features': 4, 'n_estimators': 30}\n",
      "623394.0325059813 {'max_depth': 3, 'max_features': 6, 'n_estimators': 3}\n",
      "618736.1694806003 {'max_depth': 3, 'max_features': 6, 'n_estimators': 10}\n",
      "602960.3126892284 {'max_depth': 3, 'max_features': 6, 'n_estimators': 30}\n",
      "599010.2109869665 {'max_depth': 3, 'max_features': 8, 'n_estimators': 3}\n",
      "597960.5245840342 {'max_depth': 3, 'max_features': 8, 'n_estimators': 10}\n",
      "598167.0233771522 {'max_depth': 3, 'max_features': 8, 'n_estimators': 30}\n",
      "607411.362426174 {'max_depth': 5, 'max_features': 2, 'n_estimators': 3}\n",
      "625072.7106415879 {'max_depth': 5, 'max_features': 2, 'n_estimators': 10}\n",
      "619158.3947121149 {'max_depth': 5, 'max_features': 2, 'n_estimators': 30}\n",
      "586814.2642693755 {'max_depth': 5, 'max_features': 4, 'n_estimators': 3}\n",
      "611280.6935169188 {'max_depth': 5, 'max_features': 4, 'n_estimators': 10}\n",
      "597714.4193289796 {'max_depth': 5, 'max_features': 4, 'n_estimators': 30}\n",
      "595877.0437851256 {'max_depth': 5, 'max_features': 6, 'n_estimators': 3}\n",
      "600572.1071250273 {'max_depth': 5, 'max_features': 6, 'n_estimators': 10}\n",
      "578402.7784832129 {'max_depth': 5, 'max_features': 6, 'n_estimators': 30}\n",
      "585549.3606186416 {'max_depth': 5, 'max_features': 8, 'n_estimators': 3}\n",
      "566020.3168174268 {'max_depth': 5, 'max_features': 8, 'n_estimators': 10}\n",
      "565460.3191807576 {'max_depth': 5, 'max_features': 8, 'n_estimators': 30}\n",
      "592854.1248331259 {'max_depth': 7, 'max_features': 2, 'n_estimators': 3}\n",
      "614941.3582626532 {'max_depth': 7, 'max_features': 2, 'n_estimators': 10}\n",
      "605636.6570053252 {'max_depth': 7, 'max_features': 2, 'n_estimators': 30}\n",
      "580629.0918670573 {'max_depth': 7, 'max_features': 4, 'n_estimators': 3}\n",
      "594063.360446061 {'max_depth': 7, 'max_features': 4, 'n_estimators': 10}\n",
      "584227.0752420302 {'max_depth': 7, 'max_features': 4, 'n_estimators': 30}\n",
      "572704.8183430375 {'max_depth': 7, 'max_features': 6, 'n_estimators': 3}\n",
      "572063.2637237322 {'max_depth': 7, 'max_features': 6, 'n_estimators': 10}\n",
      "555332.1702721401 {'max_depth': 7, 'max_features': 6, 'n_estimators': 30}\n",
      "553930.2060542055 {'max_depth': 7, 'max_features': 8, 'n_estimators': 3}\n",
      "539169.9736175162 {'max_depth': 7, 'max_features': 8, 'n_estimators': 10}\n",
      "539149.4094451035 {'max_depth': 7, 'max_features': 8, 'n_estimators': 30}\n",
      "579366.9999747172 {'max_depth': 10, 'max_features': 2, 'n_estimators': 3}\n",
      "601474.937900844 {'max_depth': 10, 'max_features': 2, 'n_estimators': 10}\n",
      "589289.9849947446 {'max_depth': 10, 'max_features': 2, 'n_estimators': 30}\n",
      "581637.5900599351 {'max_depth': 10, 'max_features': 4, 'n_estimators': 3}\n",
      "562964.5657074543 {'max_depth': 10, 'max_features': 4, 'n_estimators': 10}\n",
      "557485.5572317733 {'max_depth': 10, 'max_features': 4, 'n_estimators': 30}\n",
      "554217.2183129077 {'max_depth': 10, 'max_features': 6, 'n_estimators': 3}\n",
      "544517.2829601666 {'max_depth': 10, 'max_features': 6, 'n_estimators': 10}\n",
      "521076.625790035 {'max_depth': 10, 'max_features': 6, 'n_estimators': 30}\n",
      "531021.9312785902 {'max_depth': 10, 'max_features': 8, 'n_estimators': 3}\n",
      "491691.5034273546 {'max_depth': 10, 'max_features': 8, 'n_estimators': 10}\n",
      "493821.9293494425 {'max_depth': 10, 'max_features': 8, 'n_estimators': 30}\n",
      "383444.9549816286 {'bootstrap': False, 'max_features': 2, 'n_estimators': 3}\n",
      "345347.90638676065 {'bootstrap': False, 'max_features': 2, 'n_estimators': 10}\n",
      "395295.98034615145 {'bootstrap': False, 'max_features': 3, 'n_estimators': 3}\n",
      "343483.540893852 {'bootstrap': False, 'max_features': 3, 'n_estimators': 10}\n",
      "384108.17940107425 {'bootstrap': False, 'max_features': 4, 'n_estimators': 3}\n",
      "334658.04738450353 {'bootstrap': False, 'max_features': 4, 'n_estimators': 10}\n"
     ]
    }
   ],
   "source": [
    "cvres = grid_search.cv_results_\n",
    "for mean_score, params in zip(cvres[\"mean_test_score\"], cvres[\"params\"]):\n",
    "    print(-mean_score, params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean_fit_time</th>\n",
       "      <th>std_fit_time</th>\n",
       "      <th>mean_score_time</th>\n",
       "      <th>std_score_time</th>\n",
       "      <th>param_max_depth</th>\n",
       "      <th>param_max_features</th>\n",
       "      <th>param_n_estimators</th>\n",
       "      <th>param_bootstrap</th>\n",
       "      <th>params</th>\n",
       "      <th>split0_test_score</th>\n",
       "      <th>split1_test_score</th>\n",
       "      <th>split2_test_score</th>\n",
       "      <th>split3_test_score</th>\n",
       "      <th>split4_test_score</th>\n",
       "      <th>mean_test_score</th>\n",
       "      <th>std_test_score</th>\n",
       "      <th>rank_test_score</th>\n",
       "      <th>split0_train_score</th>\n",
       "      <th>split1_train_score</th>\n",
       "      <th>split2_train_score</th>\n",
       "      <th>split3_train_score</th>\n",
       "      <th>split4_train_score</th>\n",
       "      <th>mean_train_score</th>\n",
       "      <th>std_train_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.005428</td>\n",
       "      <td>0.001934</td>\n",
       "      <td>0.000967</td>\n",
       "      <td>0.000315</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'max_depth': 3, 'max_features': 2, 'n_estimat...</td>\n",
       "      <td>-561286.737941</td>\n",
       "      <td>-644919.139798</td>\n",
       "      <td>-578807.908681</td>\n",
       "      <td>-669033.684761</td>\n",
       "      <td>-646880.714660</td>\n",
       "      <td>-620185.637168</td>\n",
       "      <td>42170.373044</td>\n",
       "      <td>47</td>\n",
       "      <td>-632827.366840</td>\n",
       "      <td>-613256.716284</td>\n",
       "      <td>-625224.101362</td>\n",
       "      <td>-609441.956326</td>\n",
       "      <td>-613449.604706</td>\n",
       "      <td>-618839.949103</td>\n",
       "      <td>8774.460949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.010549</td>\n",
       "      <td>0.002233</td>\n",
       "      <td>0.001572</td>\n",
       "      <td>0.000368</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'max_depth': 3, 'max_features': 2, 'n_estimat...</td>\n",
       "      <td>-575807.045661</td>\n",
       "      <td>-653145.391284</td>\n",
       "      <td>-589415.876572</td>\n",
       "      <td>-680731.750745</td>\n",
       "      <td>-654890.285402</td>\n",
       "      <td>-630798.069933</td>\n",
       "      <td>40766.919862</td>\n",
       "      <td>53</td>\n",
       "      <td>-644297.355084</td>\n",
       "      <td>-625202.228829</td>\n",
       "      <td>-640051.369978</td>\n",
       "      <td>-619441.921172</td>\n",
       "      <td>-625318.226320</td>\n",
       "      <td>-630862.220277</td>\n",
       "      <td>9572.229869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.028914</td>\n",
       "      <td>0.003499</td>\n",
       "      <td>0.002907</td>\n",
       "      <td>0.000291</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'max_depth': 3, 'max_features': 2, 'n_estimat...</td>\n",
       "      <td>-572997.542894</td>\n",
       "      <td>-651434.482768</td>\n",
       "      <td>-587345.613766</td>\n",
       "      <td>-677176.571270</td>\n",
       "      <td>-648304.198431</td>\n",
       "      <td>-627451.681826</td>\n",
       "      <td>40140.544994</td>\n",
       "      <td>52</td>\n",
       "      <td>-640588.744899</td>\n",
       "      <td>-621440.473551</td>\n",
       "      <td>-636026.165615</td>\n",
       "      <td>-615081.043661</td>\n",
       "      <td>-622133.523681</td>\n",
       "      <td>-627053.990281</td>\n",
       "      <td>9620.431645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.005408</td>\n",
       "      <td>0.001845</td>\n",
       "      <td>0.001044</td>\n",
       "      <td>0.000376</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'max_depth': 3, 'max_features': 4, 'n_estimat...</td>\n",
       "      <td>-569545.993649</td>\n",
       "      <td>-647555.680112</td>\n",
       "      <td>-585603.103926</td>\n",
       "      <td>-673252.627529</td>\n",
       "      <td>-645699.691062</td>\n",
       "      <td>-624331.419255</td>\n",
       "      <td>39725.506210</td>\n",
       "      <td>50</td>\n",
       "      <td>-635962.200693</td>\n",
       "      <td>-617800.603074</td>\n",
       "      <td>-633725.037561</td>\n",
       "      <td>-611634.335376</td>\n",
       "      <td>-619235.024316</td>\n",
       "      <td>-623671.440204</td>\n",
       "      <td>9499.242290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.009795</td>\n",
       "      <td>0.001205</td>\n",
       "      <td>0.001326</td>\n",
       "      <td>0.000255</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'max_depth': 3, 'max_features': 4, 'n_estimat...</td>\n",
       "      <td>-577744.090305</td>\n",
       "      <td>-655828.477789</td>\n",
       "      <td>-592458.365906</td>\n",
       "      <td>-682477.717220</td>\n",
       "      <td>-654004.931574</td>\n",
       "      <td>-632502.716559</td>\n",
       "      <td>40264.113667</td>\n",
       "      <td>54</td>\n",
       "      <td>-644997.236011</td>\n",
       "      <td>-627400.897437</td>\n",
       "      <td>-642304.552375</td>\n",
       "      <td>-620559.980642</td>\n",
       "      <td>-627811.696097</td>\n",
       "      <td>-632614.872512</td>\n",
       "      <td>9410.518364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>0.171591</td>\n",
       "      <td>0.006278</td>\n",
       "      <td>0.003779</td>\n",
       "      <td>0.000275</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>False</td>\n",
       "      <td>{'bootstrap': False, 'max_features': 2, 'n_est...</td>\n",
       "      <td>-303790.218370</td>\n",
       "      <td>-384150.445901</td>\n",
       "      <td>-310438.840707</td>\n",
       "      <td>-385091.612837</td>\n",
       "      <td>-343268.414119</td>\n",
       "      <td>-345347.906387</td>\n",
       "      <td>34742.503834</td>\n",
       "      <td>3</td>\n",
       "      <td>-3966.425596</td>\n",
       "      <td>-4506.691792</td>\n",
       "      <td>-1545.382358</td>\n",
       "      <td>-2487.023885</td>\n",
       "      <td>-4471.314012</td>\n",
       "      <td>-3395.367529</td>\n",
       "      <td>1180.368000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>0.054756</td>\n",
       "      <td>0.001742</td>\n",
       "      <td>0.001656</td>\n",
       "      <td>0.000227</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>{'bootstrap': False, 'max_features': 3, 'n_est...</td>\n",
       "      <td>-362920.918237</td>\n",
       "      <td>-424720.924587</td>\n",
       "      <td>-364143.988428</td>\n",
       "      <td>-417128.226121</td>\n",
       "      <td>-407565.844358</td>\n",
       "      <td>-395295.980346</td>\n",
       "      <td>26501.377734</td>\n",
       "      <td>6</td>\n",
       "      <td>-3975.051380</td>\n",
       "      <td>-4538.022269</td>\n",
       "      <td>-2383.295419</td>\n",
       "      <td>-2351.007947</td>\n",
       "      <td>-5028.845420</td>\n",
       "      <td>-3655.244487</td>\n",
       "      <td>1103.380258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>0.172029</td>\n",
       "      <td>0.007369</td>\n",
       "      <td>0.003845</td>\n",
       "      <td>0.000411</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>False</td>\n",
       "      <td>{'bootstrap': False, 'max_features': 3, 'n_est...</td>\n",
       "      <td>-299745.353616</td>\n",
       "      <td>-387031.823157</td>\n",
       "      <td>-296765.715354</td>\n",
       "      <td>-380824.172673</td>\n",
       "      <td>-353050.639670</td>\n",
       "      <td>-343483.540894</td>\n",
       "      <td>38672.701737</td>\n",
       "      <td>2</td>\n",
       "      <td>-4071.553844</td>\n",
       "      <td>-4555.758368</td>\n",
       "      <td>-1590.744433</td>\n",
       "      <td>-2436.614858</td>\n",
       "      <td>-4525.895569</td>\n",
       "      <td>-3436.113414</td>\n",
       "      <td>1204.109509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>0.054112</td>\n",
       "      <td>0.003223</td>\n",
       "      <td>0.001434</td>\n",
       "      <td>0.000071</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>{'bootstrap': False, 'max_features': 4, 'n_est...</td>\n",
       "      <td>-322985.139255</td>\n",
       "      <td>-407892.103242</td>\n",
       "      <td>-374950.199964</td>\n",
       "      <td>-420043.648287</td>\n",
       "      <td>-394669.806258</td>\n",
       "      <td>-384108.179401</td>\n",
       "      <td>34024.918937</td>\n",
       "      <td>5</td>\n",
       "      <td>-3954.694565</td>\n",
       "      <td>-4538.022269</td>\n",
       "      <td>-1466.130384</td>\n",
       "      <td>-2283.413933</td>\n",
       "      <td>-4471.314012</td>\n",
       "      <td>-3342.715033</td>\n",
       "      <td>1242.634521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>0.179192</td>\n",
       "      <td>0.005983</td>\n",
       "      <td>0.003543</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>False</td>\n",
       "      <td>{'bootstrap': False, 'max_features': 4, 'n_est...</td>\n",
       "      <td>-292244.626696</td>\n",
       "      <td>-366882.070833</td>\n",
       "      <td>-291483.732370</td>\n",
       "      <td>-382354.528599</td>\n",
       "      <td>-340325.278425</td>\n",
       "      <td>-334658.047385</td>\n",
       "      <td>37438.961648</td>\n",
       "      <td>1</td>\n",
       "      <td>-3958.620884</td>\n",
       "      <td>-4539.853305</td>\n",
       "      <td>-5250.781663</td>\n",
       "      <td>-2300.140816</td>\n",
       "      <td>-4497.376422</td>\n",
       "      <td>-4109.354618</td>\n",
       "      <td>993.450651</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>54 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    mean_fit_time  std_fit_time  mean_score_time  std_score_time  \\\n",
       "0        0.005428      0.001934         0.000967        0.000315   \n",
       "1        0.010549      0.002233         0.001572        0.000368   \n",
       "2        0.028914      0.003499         0.002907        0.000291   \n",
       "3        0.005408      0.001845         0.001044        0.000376   \n",
       "4        0.009795      0.001205         0.001326        0.000255   \n",
       "..            ...           ...              ...             ...   \n",
       "49       0.171591      0.006278         0.003779        0.000275   \n",
       "50       0.054756      0.001742         0.001656        0.000227   \n",
       "51       0.172029      0.007369         0.003845        0.000411   \n",
       "52       0.054112      0.003223         0.001434        0.000071   \n",
       "53       0.179192      0.005983         0.003543        0.000319   \n",
       "\n",
       "   param_max_depth param_max_features param_n_estimators param_bootstrap  \\\n",
       "0                3                  2                  3             NaN   \n",
       "1                3                  2                 10             NaN   \n",
       "2                3                  2                 30             NaN   \n",
       "3                3                  4                  3             NaN   \n",
       "4                3                  4                 10             NaN   \n",
       "..             ...                ...                ...             ...   \n",
       "49             NaN                  2                 10           False   \n",
       "50             NaN                  3                  3           False   \n",
       "51             NaN                  3                 10           False   \n",
       "52             NaN                  4                  3           False   \n",
       "53             NaN                  4                 10           False   \n",
       "\n",
       "                                               params  split0_test_score  \\\n",
       "0   {'max_depth': 3, 'max_features': 2, 'n_estimat...     -561286.737941   \n",
       "1   {'max_depth': 3, 'max_features': 2, 'n_estimat...     -575807.045661   \n",
       "2   {'max_depth': 3, 'max_features': 2, 'n_estimat...     -572997.542894   \n",
       "3   {'max_depth': 3, 'max_features': 4, 'n_estimat...     -569545.993649   \n",
       "4   {'max_depth': 3, 'max_features': 4, 'n_estimat...     -577744.090305   \n",
       "..                                                ...                ...   \n",
       "49  {'bootstrap': False, 'max_features': 2, 'n_est...     -303790.218370   \n",
       "50  {'bootstrap': False, 'max_features': 3, 'n_est...     -362920.918237   \n",
       "51  {'bootstrap': False, 'max_features': 3, 'n_est...     -299745.353616   \n",
       "52  {'bootstrap': False, 'max_features': 4, 'n_est...     -322985.139255   \n",
       "53  {'bootstrap': False, 'max_features': 4, 'n_est...     -292244.626696   \n",
       "\n",
       "    split1_test_score  split2_test_score  split3_test_score  \\\n",
       "0      -644919.139798     -578807.908681     -669033.684761   \n",
       "1      -653145.391284     -589415.876572     -680731.750745   \n",
       "2      -651434.482768     -587345.613766     -677176.571270   \n",
       "3      -647555.680112     -585603.103926     -673252.627529   \n",
       "4      -655828.477789     -592458.365906     -682477.717220   \n",
       "..                ...                ...                ...   \n",
       "49     -384150.445901     -310438.840707     -385091.612837   \n",
       "50     -424720.924587     -364143.988428     -417128.226121   \n",
       "51     -387031.823157     -296765.715354     -380824.172673   \n",
       "52     -407892.103242     -374950.199964     -420043.648287   \n",
       "53     -366882.070833     -291483.732370     -382354.528599   \n",
       "\n",
       "    split4_test_score  mean_test_score  std_test_score  rank_test_score  \\\n",
       "0      -646880.714660   -620185.637168    42170.373044               47   \n",
       "1      -654890.285402   -630798.069933    40766.919862               53   \n",
       "2      -648304.198431   -627451.681826    40140.544994               52   \n",
       "3      -645699.691062   -624331.419255    39725.506210               50   \n",
       "4      -654004.931574   -632502.716559    40264.113667               54   \n",
       "..                ...              ...             ...              ...   \n",
       "49     -343268.414119   -345347.906387    34742.503834                3   \n",
       "50     -407565.844358   -395295.980346    26501.377734                6   \n",
       "51     -353050.639670   -343483.540894    38672.701737                2   \n",
       "52     -394669.806258   -384108.179401    34024.918937                5   \n",
       "53     -340325.278425   -334658.047385    37438.961648                1   \n",
       "\n",
       "    split0_train_score  split1_train_score  split2_train_score  \\\n",
       "0       -632827.366840      -613256.716284      -625224.101362   \n",
       "1       -644297.355084      -625202.228829      -640051.369978   \n",
       "2       -640588.744899      -621440.473551      -636026.165615   \n",
       "3       -635962.200693      -617800.603074      -633725.037561   \n",
       "4       -644997.236011      -627400.897437      -642304.552375   \n",
       "..                 ...                 ...                 ...   \n",
       "49        -3966.425596        -4506.691792        -1545.382358   \n",
       "50        -3975.051380        -4538.022269        -2383.295419   \n",
       "51        -4071.553844        -4555.758368        -1590.744433   \n",
       "52        -3954.694565        -4538.022269        -1466.130384   \n",
       "53        -3958.620884        -4539.853305        -5250.781663   \n",
       "\n",
       "    split3_train_score  split4_train_score  mean_train_score  std_train_score  \n",
       "0       -609441.956326      -613449.604706    -618839.949103      8774.460949  \n",
       "1       -619441.921172      -625318.226320    -630862.220277      9572.229869  \n",
       "2       -615081.043661      -622133.523681    -627053.990281      9620.431645  \n",
       "3       -611634.335376      -619235.024316    -623671.440204      9499.242290  \n",
       "4       -620559.980642      -627811.696097    -632614.872512      9410.518364  \n",
       "..                 ...                 ...               ...              ...  \n",
       "49        -2487.023885        -4471.314012      -3395.367529      1180.368000  \n",
       "50        -2351.007947        -5028.845420      -3655.244487      1103.380258  \n",
       "51        -2436.614858        -4525.895569      -3436.113414      1204.109509  \n",
       "52        -2283.413933        -4471.314012      -3342.715033      1242.634521  \n",
       "53        -2300.140816        -4497.376422      -4109.354618       993.450651  \n",
       "\n",
       "[54 rows x 24 columns]"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(grid_search.cv_results_)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "grid_search = GridSearchCV(RandomForestRegressor(random_state=42,n_estimators=5,max_depth=10),\n",
    "                  param_grid={'max_features': range(2, 50, 2)},\n",
    "                  scoring='neg_root_mean_squared_error', return_train_score=True)\n",
    "grid_search.fit(housing_prepared, housing_labels)\n",
    "results = grid_search.cv_results_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x936 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot the results\n",
    "plt.figure(figsize=(13, 13))\n",
    "plt.title(\"GridSearchCV\",\n",
    "          fontsize=16)\n",
    "\n",
    "plt.xlabel(\"max_features\")\n",
    "plt.ylabel(\"Score\")\n",
    "\n",
    "ax = plt.gca()\n",
    "ax.set_xlim(0, 50)\n",
    "\n",
    "\n",
    "# Get the regular numpy array from the MaskedArray\n",
    "X_axis = np.array(results['param_max_features'].data, dtype=float)\n",
    "\n",
    "\n",
    "for sample, style in (('train', '--'), ('test', '-')):\n",
    "    sample_score_mean = (-results['mean_%s_score' % (sample)])\n",
    "    sample_score_std = (results['std_%s_score' % (sample)])\n",
    "    ax.fill_between(X_axis, sample_score_mean - sample_score_std,\n",
    "                    sample_score_mean + sample_score_std,\n",
    "                    alpha=0.1 if sample == 'test' else 0)\n",
    "    ax.plot(X_axis, sample_score_mean, style,\n",
    "            alpha=1 if sample == 'test' else 0.7,\n",
    "            label=\"(%s)\" % ( sample))\n",
    "\n",
    "best_index = np.nonzero(results['rank_test_score' ] == 1)[0][0]\n",
    "best_score =  (-results['mean_test_score' ][best_index])\n",
    "\n",
    "# Plot a dotted vertical line at the best score for that scorer marked by x\n",
    "ax.plot([X_axis[best_index], ] * 2, [best_score, best_score],\n",
    "        linestyle='-.',  marker='x', markeredgewidth=3, ms=8)\n",
    "\n",
    "# Annotate the best score for that scorer\n",
    "ax.annotate(\"%0.2f\" % best_score,\n",
    "            (X_axis[best_index], best_score + 0.005))\n",
    "\n",
    "plt.legend(loc=\"best\")\n",
    "plt.grid(False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([3.77078275e-02, 4.00890902e-02, 3.01160833e-02, 5.97910678e-02,\n",
       "       5.31001286e-02, 6.46358311e-02, 1.20447901e-02, 7.25632378e-02,\n",
       "       9.97784060e-02, 7.12500251e-02, 7.47226472e-02, 6.75897292e-02,\n",
       "       1.05473426e-02, 3.31768132e-02, 1.16997000e-02, 5.90206192e-04,\n",
       "       8.74453053e-03, 5.16700719e-02, 6.60919889e-05, 0.00000000e+00,\n",
       "       8.87424881e-09, 8.84320593e-05, 6.10029254e-04, 8.30406840e-04,\n",
       "       0.00000000e+00, 1.09735181e-03, 1.51777830e-04, 0.00000000e+00,\n",
       "       1.97906602e-06, 0.00000000e+00, 0.00000000e+00, 3.37090624e-04,\n",
       "       0.00000000e+00, 1.75073787e-08, 1.94376941e-04, 0.00000000e+00,\n",
       "       2.58146543e-04, 5.17659858e-05, 0.00000000e+00, 2.08559430e-03,\n",
       "       3.15675961e-03, 0.00000000e+00, 8.55386047e-04, 8.17896387e-05,\n",
       "       0.00000000e+00, 1.59050511e-03, 1.68548129e-04, 0.00000000e+00,\n",
       "       2.01206511e-02, 1.29973432e-03, 6.62408746e-02, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 5.80805326e-04,\n",
       "       1.31542397e-05, 0.00000000e+00, 3.15306145e-04, 0.00000000e+00,\n",
       "       1.25164576e-04, 2.32586515e-05, 8.71190672e-05, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       1.61613455e-03, 3.14785921e-03, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 6.19644660e-04, 1.65745321e-07,\n",
       "       5.65498047e-04, 0.00000000e+00, 5.79997842e-05, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 5.48384896e-03, 5.54185874e-06, 0.00000000e+00,\n",
       "       0.00000000e+00, 1.45230040e-05, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       6.37914823e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       2.04226023e-03, 7.68191857e-08, 0.00000000e+00, 0.00000000e+00,\n",
       "       1.77903226e-05, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       8.57725621e-08, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 2.40030944e-04, 8.40672340e-07,\n",
       "       0.00000000e+00, 0.00000000e+00, 8.27478135e-05, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.10030612e-06,\n",
       "       1.81279828e-06, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 4.27908674e-07, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 4.11992060e-04, 4.34324268e-04,\n",
       "       0.00000000e+00, 7.06419511e-05, 0.00000000e+00, 0.00000000e+00,\n",
       "       5.55917059e-05, 0.00000000e+00, 2.30287583e-05, 3.69341170e-06,\n",
       "       0.00000000e+00, 5.01602717e-04, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 1.11600465e-04, 1.38919630e-07, 1.66402540e-05,\n",
       "       3.07962765e-05, 0.00000000e+00, 9.34105108e-05, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 2.58360325e-04, 0.00000000e+00, 2.14064382e-05,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 2.78650055e-03, 3.45069001e-05, 0.00000000e+00,\n",
       "       5.63649244e-04, 1.52137899e-03, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       8.50241671e-06, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 1.27902511e-05, 0.00000000e+00,\n",
       "       0.00000000e+00, 1.14737105e-04, 0.00000000e+00, 0.00000000e+00,\n",
       "       3.36343894e-06, 5.47111594e-03, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 4.51509756e-05,\n",
       "       0.00000000e+00, 0.00000000e+00, 4.48157642e-06, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 8.44454628e-03,\n",
       "       6.83332138e-04, 2.06124958e-03, 0.00000000e+00, 2.32364356e-06,\n",
       "       1.70138007e-05, 0.00000000e+00, 0.00000000e+00, 1.23281966e-05,\n",
       "       0.00000000e+00, 0.00000000e+00, 1.02980112e-04, 4.11401587e-06,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.01759418e-05,\n",
       "       6.20601622e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 1.80807270e-05, 5.76851685e-05,\n",
       "       0.00000000e+00, 5.83102732e-10, 2.03071819e-09, 0.00000000e+00,\n",
       "       4.86971683e-05, 0.00000000e+00, 5.85741435e-04, 0.00000000e+00,\n",
       "       0.00000000e+00, 4.28987349e-05, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       4.95985963e-04, 3.38378058e-08, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 1.05944967e-03, 0.00000000e+00, 9.13372191e-05,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       5.76564495e-07, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 1.65238004e-04, 1.41791164e-06,\n",
       "       0.00000000e+00, 4.06296238e-06, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 1.31876291e-03, 1.52004813e-05, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.28661274e-04,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 9.91610116e-06, 1.19567146e-07, 0.00000000e+00,\n",
       "       1.42309479e-05, 2.93435294e-04, 6.55587175e-04, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.67248988e-06,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 7.05115688e-05, 0.00000000e+00, 6.60894247e-05,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.77573793e-06,\n",
       "       3.85801621e-04, 0.00000000e+00, 6.03030641e-08, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 5.15395852e-07,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       6.30327943e-05, 1.43362705e-04, 2.73268137e-09, 0.00000000e+00,\n",
       "       3.13508660e-04, 7.62138327e-06, 0.00000000e+00, 1.29202923e-03,\n",
       "       2.53051294e-04, 0.00000000e+00, 6.04585965e-05, 1.29379677e-03,\n",
       "       0.00000000e+00, 5.02226589e-10, 1.77051293e-03, 3.54967057e-04,\n",
       "       0.00000000e+00, 6.93864729e-05, 5.25890252e-05, 0.00000000e+00,\n",
       "       2.89136826e-05, 0.00000000e+00, 1.01567973e-05, 1.51164615e-04,\n",
       "       1.04630539e-09, 8.99638163e-05, 0.00000000e+00, 1.25879740e-06,\n",
       "       1.05788006e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 1.81903377e-06, 4.25698271e-06, 0.00000000e+00,\n",
       "       2.67542980e-06, 4.09464558e-05, 3.52698076e-06, 2.64505440e-04,\n",
       "       0.00000000e+00, 1.88148961e-06, 0.00000000e+00, 3.55578479e-05,\n",
       "       5.21407788e-06, 0.00000000e+00, 1.38976657e-04, 6.91374659e-05,\n",
       "       9.57913411e-04, 7.62290994e-07, 6.30949193e-05, 5.07280980e-05,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.83267775e-04,\n",
       "       8.85847892e-05, 0.00000000e+00, 0.00000000e+00, 1.23396658e-05,\n",
       "       5.72135485e-05, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 1.59917701e-05, 0.00000000e+00,\n",
       "       1.63569406e-03, 5.12683100e-05, 1.06596927e-04, 9.78339779e-04,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       1.52072046e-05, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 1.33370975e-03, 3.40117318e-03, 0.00000000e+00,\n",
       "       0.00000000e+00, 4.50988070e-03, 2.52350825e-04, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 4.38926809e-07, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 6.33133135e-05, 3.63881483e-03, 3.24730344e-03,\n",
       "       5.15041252e-03, 2.46394971e-04, 1.52506047e-03, 3.06215080e-05,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 7.18319139e-06,\n",
       "       0.00000000e+00, 4.76093822e-07, 7.90816533e-05, 2.49300635e-05,\n",
       "       0.00000000e+00, 2.50470105e-06, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 4.69486372e-04,\n",
       "       3.03473728e-04, 4.47312492e-06, 2.25118263e-03, 8.69785066e-06,\n",
       "       9.32729444e-03, 0.00000000e+00, 2.03454819e-04, 2.71787296e-04,\n",
       "       0.00000000e+00, 3.18011874e-04, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 5.88279595e-03, 7.01577864e-04,\n",
       "       3.08150488e-04, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.51849840e-05,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.85133259e-04,\n",
       "       0.00000000e+00])"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Best features according to Random Forest\n",
    "feature_importances = grid_search.best_estimator_.feature_importances_\n",
    "feature_importances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0.09977840601554254, 'BuildingArea'),\n",
       " (0.0747226471646598, 'Lattitude'),\n",
       " (0.07256323780656779, 'Landsize'),\n",
       " (0.0712500250940354, 'YearBuilt'),\n",
       " (0.06758972922049247, 'Longtitude'),\n",
       " (0.06463583107182087, 'Bathroom'),\n",
       " (0.05979106782638299, 'Distance'),\n",
       " (0.05310012856171544, 'Bedroom2'),\n",
       " (0.051670071940343607, 'Boroondara'),\n",
       " (0.040089090229974825, 'log_BuildingArea'),\n",
       " (0.03770782751804696, 'log_Landsize'),\n",
       " (0.03317681322698106, 'rooms_per_building_area'),\n",
       " (0.030116083255400106, 'Rooms'),\n",
       " (0.012044790065775442, 'Car'),\n",
       " (0.011699699956256946, 'bedrooms_per_room'),\n",
       " (0.010547342648780624, 'Propertycount'),\n",
       " (0.008744530527343879, 'Bayside'),\n",
       " (0.0031567596124253265, 'Stonnington'),\n",
       " (0.002085594299779136, 'Port Phillip'),\n",
       " (0.0015905051144941191, 'Wyndham'),\n",
       " (0.0010973518136936007, 'Hobsons Bay'),\n",
       " (0.0008553860474543364, 'Unknown'),\n",
       " (0.0008304068400557755, 'Glen Eira'),\n",
       " (0.0006100292535043452, 'Frankston'),\n",
       " (0.0005902061922925045, 'Banyule'),\n",
       " (0.00033709062382971067, 'Maribyrnong'),\n",
       " (0.00025814654262599004, 'Moonee Valley'),\n",
       " (0.00019437694065101483, 'Melton'),\n",
       " (0.00016854812861700794, 'Yarra'),\n",
       " (0.00015177782996435546, 'Hume'),\n",
       " (8.843205932327533e-05, 'Darebin'),\n",
       " (8.178963870838342e-05, 'Whitehorse'),\n",
       " (6.609198889449911e-05, 'Brimbank'),\n",
       " (5.176598581510582e-05, 'Moreland'),\n",
       " (1.979066015776766e-06, 'Knox'),\n",
       " (1.7507378667428214e-08, 'Melbourne'),\n",
       " (8.874248806131885e-09, 'Casey'),\n",
       " (0.0, 'Yarra Ranges'),\n",
       " (0.0, 'Whittlesea'),\n",
       " (0.0, 'Unavailable'),\n",
       " (0.0, 'Nillumbik'),\n",
       " (0.0, 'Monash'),\n",
       " (0.0, 'Maroondah'),\n",
       " (0.0, 'Manningham'),\n",
       " (0.0, 'Macedon Ranges'),\n",
       " (0.0, 'Kingston'),\n",
       " (0.0, 'Greater Dandenong'),\n",
       " (0.0, 'Cardinia')]"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extra_attribs = [\"rooms_per_building_area\", \"bedrooms_per_room\"]\n",
    "cat_encoder = full_pipeline.named_transformers_[\"cat\"]\n",
    "cat_one_hot_attribs = list(full_pipeline.named_transformers_[\"cat\"]['one_hot_encoder'].categories_[0])\n",
    "attributes = [\"log_\" + t for t in num_attribs0 ] + num_attribs1 + extra_attribs + cat_one_hot_attribs\n",
    "sorted(zip(feature_importances, attributes), reverse=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ## Final Model \n",
    " Create Final Model and evaluate it (You shoud do this only once)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "final_model = grid_search.best_estimator_\n",
    "\n",
    "X_test = strat_test_set.drop(\"Price\", axis=1)\n",
    "y_test = strat_test_set[\"Price\"].copy()\n",
    "\n",
    "X_test_prepared = full_pipeline.transform(X_test)\n",
    "final_predictions = final_model.predict(X_test_prepared)\n",
    "\n",
    "final_mse = mean_squared_error(y_test, final_predictions)\n",
    "final_rmse = np.sqrt(final_mse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "381504.02664086333"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_rmse"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can compute a 95% confidence interval for the test RMSE:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([329146.46472882, 427496.49056209])"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy import stats\n",
    "confidence = 0.95\n",
    "squared_errors = (final_predictions - y_test) ** 2\n",
    "np.sqrt(stats.t.interval(confidence, len(squared_errors) - 1,\n",
    "                         loc=squared_errors.mean(),\n",
    "                         scale=stats.sem(squared_errors)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
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