TD4_Advanced_Regressions.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TD4 Advanced Regressions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Following this beautiful publication on Kaggle competition : \n",
    "https://www.kaggle.com/shaygu/house-prices-begginer-top-7/notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "import github_command as gt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "gt.push(file_to_transfer=\"TD4_Advanced_Regressions.ipynb\", \n",
    "        message=\"missing data\", \n",
    "        repos=\"TDs_ESILV\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "gt.push(file_to_transfer=\"TD4_data.ipynb\", \n",
    "        message=\"img1 skewness upload\", \n",
    "        repos=\"TDs_ESILV\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Table of contents\n",
    "1. [Importing libraries](#libraries)\n",
    "2. [Loading and querying data](#data loading)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Libraries <a name='libraries'/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore') # ignore warnings messages in iPython\n",
    "\n",
    "import os # os functions for files/directory manipulation\n",
    "import pandas as pd # data manipulation\n",
    "import matplotlib.pyplot as plt # data viz\n",
    "import seaborn as sns # data viz\n",
    "import numpy as np # vecotrized function + data manipulation\n",
    "from scipy.stats import norm\n",
    "from scipy.special import boxcox1p\n",
    "from scipy.stats import boxcox_normmax # for skewness\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from scipy import stats\n",
    "from IPython.display import display, Image\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.float_format', \n",
    "              lambda x: '{:.3f}'.format(x)) #Limiting floats output to 3 decimal points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "if not os.path.exists(\"TD4_data/\"):\n",
    "    os.mkdir(\"TD4_data/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['.DS_Store',\n",
       " 'test.csv',\n",
       " 'img1_skewness.png',\n",
       " 'train.csv',\n",
       " 'sample_submission.csv']"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.listdir(\"TD4_data\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Loading and Querying <a name=\"data loading\" />"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read files\n",
    "train = pd.read_csv(\"./TD4_data/train.csv\")\n",
    "test  = pd.read_csv(\"./TD4_data/test.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Save the 'Id' column\n",
    "train_ID = train['Id']\n",
    "test_ID = test['Id']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Now drop the  'Id' colum since it's unnecessary for  the prediction process.\n",
    "train.drop(\"Id\", axis = 1, inplace = True)\n",
    "test.drop(\"Id\",  axis = 1, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = 20,15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 36 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_fig = train[numerical_columns].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "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>MSSubClass</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>OverallQual</th>\n",
       "      <th>OverallCond</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <th>MasVnrArea</th>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <th>...</th>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <th>3SsnPorch</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1460.000</td>\n",
       "      <td>1201.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1452.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>...</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1460.000</td>\n",
       "      <td>1460.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>56.897</td>\n",
       "      <td>70.050</td>\n",
       "      <td>10516.828</td>\n",
       "      <td>6.099</td>\n",
       "      <td>5.575</td>\n",
       "      <td>1971.268</td>\n",
       "      <td>1984.866</td>\n",
       "      <td>103.685</td>\n",
       "      <td>443.640</td>\n",
       "      <td>46.549</td>\n",
       "      <td>...</td>\n",
       "      <td>94.245</td>\n",
       "      <td>46.660</td>\n",
       "      <td>21.954</td>\n",
       "      <td>3.410</td>\n",
       "      <td>15.061</td>\n",
       "      <td>2.759</td>\n",
       "      <td>43.489</td>\n",
       "      <td>6.322</td>\n",
       "      <td>2007.816</td>\n",
       "      <td>180921.196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>42.301</td>\n",
       "      <td>24.285</td>\n",
       "      <td>9981.265</td>\n",
       "      <td>1.383</td>\n",
       "      <td>1.113</td>\n",
       "      <td>30.203</td>\n",
       "      <td>20.645</td>\n",
       "      <td>181.066</td>\n",
       "      <td>456.098</td>\n",
       "      <td>161.319</td>\n",
       "      <td>...</td>\n",
       "      <td>125.339</td>\n",
       "      <td>66.256</td>\n",
       "      <td>61.119</td>\n",
       "      <td>29.317</td>\n",
       "      <td>55.757</td>\n",
       "      <td>40.177</td>\n",
       "      <td>496.123</td>\n",
       "      <td>2.704</td>\n",
       "      <td>1.328</td>\n",
       "      <td>79442.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>20.000</td>\n",
       "      <td>21.000</td>\n",
       "      <td>1300.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1872.000</td>\n",
       "      <td>1950.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2006.000</td>\n",
       "      <td>34900.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>20.000</td>\n",
       "      <td>59.000</td>\n",
       "      <td>7553.500</td>\n",
       "      <td>5.000</td>\n",
       "      <td>5.000</td>\n",
       "      <td>1954.000</td>\n",
       "      <td>1967.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>5.000</td>\n",
       "      <td>2007.000</td>\n",
       "      <td>129975.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>50.000</td>\n",
       "      <td>69.000</td>\n",
       "      <td>9478.500</td>\n",
       "      <td>6.000</td>\n",
       "      <td>5.000</td>\n",
       "      <td>1973.000</td>\n",
       "      <td>1994.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>383.500</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>25.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>6.000</td>\n",
       "      <td>2008.000</td>\n",
       "      <td>163000.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>70.000</td>\n",
       "      <td>80.000</td>\n",
       "      <td>11601.500</td>\n",
       "      <td>7.000</td>\n",
       "      <td>6.000</td>\n",
       "      <td>2000.000</td>\n",
       "      <td>2004.000</td>\n",
       "      <td>166.000</td>\n",
       "      <td>712.250</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>168.000</td>\n",
       "      <td>68.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>8.000</td>\n",
       "      <td>2009.000</td>\n",
       "      <td>214000.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>190.000</td>\n",
       "      <td>313.000</td>\n",
       "      <td>215245.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>2010.000</td>\n",
       "      <td>2010.000</td>\n",
       "      <td>1600.000</td>\n",
       "      <td>5644.000</td>\n",
       "      <td>1474.000</td>\n",
       "      <td>...</td>\n",
       "      <td>857.000</td>\n",
       "      <td>547.000</td>\n",
       "      <td>552.000</td>\n",
       "      <td>508.000</td>\n",
       "      <td>480.000</td>\n",
       "      <td>738.000</td>\n",
       "      <td>15500.000</td>\n",
       "      <td>12.000</td>\n",
       "      <td>2010.000</td>\n",
       "      <td>755000.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       MSSubClass  LotFrontage    LotArea  OverallQual  OverallCond  \\\n",
       "count    1460.000     1201.000   1460.000     1460.000     1460.000   \n",
       "mean       56.897       70.050  10516.828        6.099        5.575   \n",
       "std        42.301       24.285   9981.265        1.383        1.113   \n",
       "min        20.000       21.000   1300.000        1.000        1.000   \n",
       "25%        20.000       59.000   7553.500        5.000        5.000   \n",
       "50%        50.000       69.000   9478.500        6.000        5.000   \n",
       "75%        70.000       80.000  11601.500        7.000        6.000   \n",
       "max       190.000      313.000 215245.000       10.000        9.000   \n",
       "\n",
       "       YearBuilt  YearRemodAdd  MasVnrArea  BsmtFinSF1  BsmtFinSF2    ...      \\\n",
       "count   1460.000      1460.000    1452.000    1460.000    1460.000    ...       \n",
       "mean    1971.268      1984.866     103.685     443.640      46.549    ...       \n",
       "std       30.203        20.645     181.066     456.098     161.319    ...       \n",
       "min     1872.000      1950.000       0.000       0.000       0.000    ...       \n",
       "25%     1954.000      1967.000       0.000       0.000       0.000    ...       \n",
       "50%     1973.000      1994.000       0.000     383.500       0.000    ...       \n",
       "75%     2000.000      2004.000     166.000     712.250       0.000    ...       \n",
       "max     2010.000      2010.000    1600.000    5644.000    1474.000    ...       \n",
       "\n",
       "       WoodDeckSF  OpenPorchSF  EnclosedPorch  3SsnPorch  ScreenPorch  \\\n",
       "count    1460.000     1460.000       1460.000   1460.000     1460.000   \n",
       "mean       94.245       46.660         21.954      3.410       15.061   \n",
       "std       125.339       66.256         61.119     29.317       55.757   \n",
       "min         0.000        0.000          0.000      0.000        0.000   \n",
       "25%         0.000        0.000          0.000      0.000        0.000   \n",
       "50%         0.000       25.000          0.000      0.000        0.000   \n",
       "75%       168.000       68.000          0.000      0.000        0.000   \n",
       "max       857.000      547.000        552.000    508.000      480.000   \n",
       "\n",
       "       PoolArea   MiscVal   MoSold   YrSold  SalePrice  \n",
       "count  1460.000  1460.000 1460.000 1460.000   1460.000  \n",
       "mean      2.759    43.489    6.322 2007.816 180921.196  \n",
       "std      40.177   496.123    2.704    1.328  79442.503  \n",
       "min       0.000     0.000    1.000 2006.000  34900.000  \n",
       "25%       0.000     0.000    5.000 2007.000 129975.000  \n",
       "50%       0.000     0.000    6.000 2008.000 163000.000  \n",
       "75%       0.000     0.000    8.000 2009.000 214000.000  \n",
       "max     738.000 15500.000   12.000 2010.000 755000.000  \n",
       "\n",
       "[8 rows x 37 columns]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "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>MSSubClass</th>\n",
       "      <th>MSZoning</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>LotShape</th>\n",
       "      <th>LandContour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>LotConfig</th>\n",
       "      <th>...</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>PoolQC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>MiscFeature</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SaleType</th>\n",
       "      <th>SaleCondition</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>65.000</td>\n",
       "      <td>8450</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>208500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.000</td>\n",
       "      <td>9600</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>181500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>68.000</td>\n",
       "      <td>11250</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>223500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>70</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.000</td>\n",
       "      <td>9550</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "      <td>140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>84.000</td>\n",
       "      <td>14260</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 80 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
       "0          60       RL       65.000     8450   Pave   NaN      Reg   \n",
       "1          20       RL       80.000     9600   Pave   NaN      Reg   \n",
       "2          60       RL       68.000    11250   Pave   NaN      IR1   \n",
       "3          70       RL       60.000     9550   Pave   NaN      IR1   \n",
       "4          60       RL       84.000    14260   Pave   NaN      IR1   \n",
       "\n",
       "  LandContour Utilities LotConfig    ...     PoolArea PoolQC Fence  \\\n",
       "0         Lvl    AllPub    Inside    ...            0    NaN   NaN   \n",
       "1         Lvl    AllPub       FR2    ...            0    NaN   NaN   \n",
       "2         Lvl    AllPub    Inside    ...            0    NaN   NaN   \n",
       "3         Lvl    AllPub    Corner    ...            0    NaN   NaN   \n",
       "4         Lvl    AllPub       FR2    ...            0    NaN   NaN   \n",
       "\n",
       "  MiscFeature MiscVal MoSold  YrSold  SaleType  SaleCondition  SalePrice  \n",
       "0         NaN       0      2    2008        WD         Normal     208500  \n",
       "1         NaN       0      5    2007        WD         Normal     181500  \n",
       "2         NaN       0      9    2008        WD         Normal     223500  \n",
       "3         NaN       0      2    2006        WD        Abnorml     140000  \n",
       "4         NaN       0     12    2008        WD         Normal     250000  \n",
       "\n",
       "[5 rows x 80 columns]"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((1460, 80), (1459, 79))"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.shape, test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### colonne d'intérêt <=> dependent variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'SalePrice'}"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(train.columns) ^ set(test.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Outlier detection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Énumérer les outliers comme deviant de ***N*** standard deviation vis-à-vis de la moyenne."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Est-ce que cela fait sens ? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "numerical_columns = train.dtypes[train.dtypes=='int64'].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_outlier(col, number_stds):\n",
    "    try:\n",
    "        return [ val for val in col if np.abs(val) > number_stds * np.std(col) ]\n",
    "    except:\n",
    "        return 'error'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "def indices_outlier(col):\n",
    "    return list(col[col].index.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MSSubClass</th>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LotArea</th>\n",
       "      <td>[159000, 215245, 164660, 70761, 115149]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OverallQual</th>\n",
       "      <td>[10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OverallCond</th>\n",
       "      <td>[8, 8, 8, 8, 8, 8, 8, 9, 8, 9, 9, 9, 8, 8, 8, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearBuilt</th>\n",
       "      <td>[2003, 1976, 2001, 1915, 2000, 1993, 2004, 197...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <td>[2003, 1976, 2002, 1970, 2000, 1995, 2005, 197...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <td>[5644]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <td>[1474]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <td>[3206, 3094, 3200, 3138, 6110]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1stFlrSF</th>\n",
       "      <td>[3228, 3138, 2898, 4692]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2ndFlrSF</th>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LowQualFinSF</th>\n",
       "      <td>[360, 513, 528, 572, 392, 371, 390, 420, 473, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GrLivArea</th>\n",
       "      <td>[4676, 4316, 4476, 5642]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <td>[2, 2]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FullBath</th>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HalfBath</th>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BedroomAbvGr</th>\n",
       "      <td>[6, 6, 6, 6, 8, 6, 6, 6]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KitchenAbvGr</th>\n",
       "      <td>[2, 2, 2, 2, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotRmsAbvGrd</th>\n",
       "      <td>[12, 14, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fireplaces</th>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageCars</th>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageArea</th>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <td>[523, 502, 547]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <td>[552]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3SsnPorch</th>\n",
       "      <td>[320, 407, 508, 238, 245, 216, 216, 290, 304]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ScreenPorch</th>\n",
       "      <td>[410, 396, 480, 440]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PoolArea</th>\n",
       "      <td>[512, 648, 576, 555, 480, 519, 738]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MiscVal</th>\n",
       "      <td>[15500, 3500, 8300]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MoSold</th>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YrSold</th>\n",
       "      <td>[2008, 2007, 2008, 2006, 2008, 2009, 2007, 200...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SalePrice</th>\n",
       "      <td>[755000, 582933, 611657, 556581, 625000, 745000]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                               0\n",
       "MSSubClass                                                    []\n",
       "LotArea                  [159000, 215245, 164660, 70761, 115149]\n",
       "OverallQual    [10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 1...\n",
       "OverallCond    [8, 8, 8, 8, 8, 8, 8, 9, 8, 9, 9, 9, 8, 8, 8, ...\n",
       "YearBuilt      [2003, 1976, 2001, 1915, 2000, 1993, 2004, 197...\n",
       "YearRemodAdd   [2003, 1976, 2002, 1970, 2000, 1995, 2005, 197...\n",
       "BsmtFinSF1                                                [5644]\n",
       "BsmtFinSF2                                                [1474]\n",
       "BsmtUnfSF                                                     []\n",
       "TotalBsmtSF                       [3206, 3094, 3200, 3138, 6110]\n",
       "1stFlrSF                                [3228, 3138, 2898, 4692]\n",
       "2ndFlrSF                                                      []\n",
       "LowQualFinSF   [360, 513, 528, 572, 392, 371, 390, 420, 473, ...\n",
       "GrLivArea                               [4676, 4316, 4476, 5642]\n",
       "BsmtFullBath                                                  []\n",
       "BsmtHalfBath                                              [2, 2]\n",
       "FullBath                                                      []\n",
       "HalfBath                                                      []\n",
       "BedroomAbvGr                            [6, 6, 6, 6, 8, 6, 6, 6]\n",
       "KitchenAbvGr   [2, 2, 2, 2, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, ...\n",
       "TotRmsAbvGrd    [12, 14, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12]\n",
       "Fireplaces                                                    []\n",
       "GarageCars                                                    []\n",
       "GarageArea                                                    []\n",
       "WoodDeckSF                                                    []\n",
       "OpenPorchSF                                      [523, 502, 547]\n",
       "EnclosedPorch                                              [552]\n",
       "3SsnPorch          [320, 407, 508, 238, 245, 216, 216, 290, 304]\n",
       "ScreenPorch                                 [410, 396, 480, 440]\n",
       "PoolArea                     [512, 648, 576, 555, 480, 519, 738]\n",
       "MiscVal                                      [15500, 3500, 8300]\n",
       "MoSold                                                        []\n",
       "YrSold         [2008, 2007, 2008, 2006, 2008, 2009, 2007, 200...\n",
       "SalePrice       [755000, 582933, 611657, 556581, 625000, 745000]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[numerical_columns].apply(find_outlier, number_stds=7).to_frame()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data skewness & kurtosis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* assymétrie <=> skewness\n",
    "* a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean\n",
    "* third standardized moment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename=\"TD4_data/img1_skewness.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "                <=> left skewed  ---------- <=> right skewed"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* allongement de la distribution <=> Kurtosis\n",
    "* measure of the \"tailedness\" of the probability distribution of a real-valued random variable\n",
    "* fourth standardized moment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Skewness: 1.882876\n",
      "Kurtosis: 6.536282\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train['SalePrice'].describe()\n",
    "sns.distplot(train['SalePrice'])\n",
    "#skewness and kurtosis\n",
    "print(\"Skewness: %f\" % train['SalePrice'].skew())\n",
    "print(\"Kurtosis: %f\" % train['SalePrice'].kurt())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0.98,'After transformation')"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy import stats\n",
    "from scipy.stats import norm, skew #for some statistics\n",
    "\n",
    "# Plot histogram and probability\n",
    "fig = plt.figure(figsize=(15,5))\n",
    "plt.subplot(1,2,1)\n",
    "sns.distplot(train['SalePrice'] , fit=norm);\n",
    "(mu, sigma) = norm.fit(train['SalePrice'])\n",
    "plt.legend(['Normal dist. ($\\mu=$ {:.2f} and $\\sigma=$ {:.2f} )'.format(mu, sigma)], loc=1)\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('SalePrice distribution')\n",
    "plt.subplot(1,2,2)\n",
    "res = stats.probplot(train['SalePrice'], plot=plt)\n",
    "plt.suptitle('Before transformation')\n",
    "\n",
    "# Apply transformation\n",
    "train.SalePrice = np.log1p(train.SalePrice)\n",
    "\n",
    "# Plot histogram and probability after transformation\n",
    "fig = plt.figure(figsize=(15,5))\n",
    "plt.subplot(1,2,1)\n",
    "sns.distplot(train['SalePrice'] , fit=norm);\n",
    "(mu, sigma) = norm.fit(train['SalePrice'])\n",
    "plt.legend(['Normal dist. ($\\mu=$ {:.2f} and $\\sigma=$ {:.2f} )'.format(mu, sigma)], loc=1)\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('SalePrice distribution')\n",
    "plt.subplot(1,2,2)\n",
    "res = stats.probplot(train['SalePrice'], plot=plt)\n",
    "plt.suptitle('After transformation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "# New prediction\n",
    "y_train = train.SalePrice.values\n",
    "y_train_orig = train.SalePrice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1459, 79)"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Features and imputation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Concatenate train and test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2919, 80)\n"
     ]
    }
   ],
   "source": [
    "data_features = pd.concat([train, test]).reset_index(drop=True)\n",
    "print(data_features.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Missing data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a36be0f60>"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data_features.isna())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [],
   "source": [
    "def details_na_values(df):\n",
    "    s = (df.isnull().sum()/df.shape[0]).sort_values(ascending=False)\n",
    "    Missing_data = pd.concat([s[s>0], df.isnull().sum(), df.dtypes], join='inner', ignore_index=False, axis=1)\n",
    "    return Missing_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>PoolQC</th>\n",
       "      <td>0.997</td>\n",
       "      <td>2909</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MiscFeature</th>\n",
       "      <td>0.964</td>\n",
       "      <td>2814</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alley</th>\n",
       "      <td>0.932</td>\n",
       "      <td>2721</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fence</th>\n",
       "      <td>0.804</td>\n",
       "      <td>2348</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SalePrice</th>\n",
       "      <td>0.500</td>\n",
       "      <td>1459</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FireplaceQu</th>\n",
       "      <td>0.486</td>\n",
       "      <td>1420</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LotFrontage</th>\n",
       "      <td>0.166</td>\n",
       "      <td>486</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageQual</th>\n",
       "      <td>0.054</td>\n",
       "      <td>159</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <td>0.054</td>\n",
       "      <td>159</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageFinish</th>\n",
       "      <td>0.054</td>\n",
       "      <td>159</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageCond</th>\n",
       "      <td>0.054</td>\n",
       "      <td>159</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageType</th>\n",
       "      <td>0.054</td>\n",
       "      <td>157</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtCond</th>\n",
       "      <td>0.028</td>\n",
       "      <td>82</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtExposure</th>\n",
       "      <td>0.028</td>\n",
       "      <td>82</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtQual</th>\n",
       "      <td>0.028</td>\n",
       "      <td>81</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinType2</th>\n",
       "      <td>0.027</td>\n",
       "      <td>80</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinType1</th>\n",
       "      <td>0.027</td>\n",
       "      <td>79</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrType</th>\n",
       "      <td>0.008</td>\n",
       "      <td>24</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrArea</th>\n",
       "      <td>0.008</td>\n",
       "      <td>23</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSZoning</th>\n",
       "      <td>0.001</td>\n",
       "      <td>4</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <td>0.001</td>\n",
       "      <td>2</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utilities</th>\n",
       "      <td>0.001</td>\n",
       "      <td>2</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Functional</th>\n",
       "      <td>0.001</td>\n",
       "      <td>2</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <td>0.001</td>\n",
       "      <td>2</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Electrical</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exterior2nd</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KitchenQual</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageCars</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exterior1st</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageArea</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SaleType</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 0     1        2\n",
       "PoolQC       0.997  2909   object\n",
       "MiscFeature  0.964  2814   object\n",
       "Alley        0.932  2721   object\n",
       "Fence        0.804  2348   object\n",
       "SalePrice    0.500  1459  float64\n",
       "FireplaceQu  0.486  1420   object\n",
       "LotFrontage  0.166   486  float64\n",
       "GarageQual   0.054   159   object\n",
       "GarageYrBlt  0.054   159  float64\n",
       "GarageFinish 0.054   159   object\n",
       "GarageCond   0.054   159   object\n",
       "GarageType   0.054   157   object\n",
       "BsmtCond     0.028    82   object\n",
       "BsmtExposure 0.028    82   object\n",
       "BsmtQual     0.028    81   object\n",
       "BsmtFinType2 0.027    80   object\n",
       "BsmtFinType1 0.027    79   object\n",
       "MasVnrType   0.008    24   object\n",
       "MasVnrArea   0.008    23  float64\n",
       "MSZoning     0.001     4   object\n",
       "BsmtHalfBath 0.001     2  float64\n",
       "Utilities    0.001     2   object\n",
       "Functional   0.001     2   object\n",
       "BsmtFullBath 0.001     2  float64\n",
       "Electrical   0.000     1   object\n",
       "Exterior2nd  0.000     1   object\n",
       "KitchenQual  0.000     1   object\n",
       "GarageCars   0.000     1  float64\n",
       "Exterior1st  0.000     1   object\n",
       "GarageArea   0.000     1  float64\n",
       "TotalBsmtSF  0.000     1  float64\n",
       "BsmtUnfSF    0.000     1  float64\n",
       "BsmtFinSF2   0.000     1  float64\n",
       "BsmtFinSF1   0.000     1  float64\n",
       "SaleType     0.000     1   object"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "details_na_values(data_features)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Pour les colonnes ayant très peu de données manquante étant "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "common_vars = ['MSZoning', 'Exterior1st','Exterior2nd','SaleType','Electrical','KitchenQual']\n",
    "for var in common_vars:\n",
    "    data_features[var] = data_features[var].fillna(data_features[var].mode()[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>PoolQC</th>\n",
       "      <td>0.997</td>\n",
       "      <td>2909</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>MiscFeature</th>\n",
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       "    <tr>\n",
       "      <th>Alley</th>\n",
       "      <td>0.932</td>\n",
       "      <td>2721</td>\n",
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       "    <tr>\n",
       "      <th>Fence</th>\n",
       "      <td>0.804</td>\n",
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       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SalePrice</th>\n",
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       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FireplaceQu</th>\n",
       "      <td>0.486</td>\n",
       "      <td>1420</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LotFrontage</th>\n",
       "      <td>0.166</td>\n",
       "      <td>486</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageQual</th>\n",
       "      <td>0.054</td>\n",
       "      <td>159</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <td>0.054</td>\n",
       "      <td>159</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageCond</th>\n",
       "      <td>0.054</td>\n",
       "      <td>159</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageFinish</th>\n",
       "      <td>0.054</td>\n",
       "      <td>159</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageType</th>\n",
       "      <td>0.054</td>\n",
       "      <td>157</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtCond</th>\n",
       "      <td>0.028</td>\n",
       "      <td>82</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtExposure</th>\n",
       "      <td>0.028</td>\n",
       "      <td>82</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtQual</th>\n",
       "      <td>0.028</td>\n",
       "      <td>81</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinType2</th>\n",
       "      <td>0.027</td>\n",
       "      <td>80</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinType1</th>\n",
       "      <td>0.027</td>\n",
       "      <td>79</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrType</th>\n",
       "      <td>0.008</td>\n",
       "      <td>24</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrArea</th>\n",
       "      <td>0.008</td>\n",
       "      <td>23</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Functional</th>\n",
       "      <td>0.001</td>\n",
       "      <td>2</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utilities</th>\n",
       "      <td>0.001</td>\n",
       "      <td>2</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <td>0.001</td>\n",
       "      <td>2</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <td>0.001</td>\n",
       "      <td>2</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageCars</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageArea</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <td>0.000</td>\n",
       "      <td>1</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "                 0     1        2\n",
       "PoolQC       0.997  2909   object\n",
       "MiscFeature  0.964  2814   object\n",
       "Alley        0.932  2721   object\n",
       "Fence        0.804  2348   object\n",
       "SalePrice    0.500  1459  float64\n",
       "FireplaceQu  0.486  1420   object\n",
       "LotFrontage  0.166   486  float64\n",
       "GarageQual   0.054   159   object\n",
       "GarageYrBlt  0.054   159  float64\n",
       "GarageCond   0.054   159   object\n",
       "GarageFinish 0.054   159   object\n",
       "GarageType   0.054   157   object\n",
       "BsmtCond     0.028    82   object\n",
       "BsmtExposure 0.028    82   object\n",
       "BsmtQual     0.028    81   object\n",
       "BsmtFinType2 0.027    80   object\n",
       "BsmtFinType1 0.027    79   object\n",
       "MasVnrType   0.008    24   object\n",
       "MasVnrArea   0.008    23  float64\n",
       "Functional   0.001     2   object\n",
       "Utilities    0.001     2   object\n",
       "BsmtHalfBath 0.001     2  float64\n",
       "BsmtFullBath 0.001     2  float64\n",
       "TotalBsmtSF  0.000     1  float64\n",
       "BsmtUnfSF    0.000     1  float64\n",
       "GarageCars   0.000     1  float64\n",
       "GarageArea   0.000     1  float64\n",
       "BsmtFinSF1   0.000     1  float64\n",
       "BsmtFinSF2   0.000     1  float64"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "details_na_values(data_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # data description says NA means \"No Pool\", majority of houses have no Pool at all in general.\n",
    "# features[] = features[\"PoolQC\"].fillna(\"None\")\n",
    "# Replacing missing data with None\n",
    "for col in ['GarageType', 'GarageFinish', 'GarageQual', 'GarageCond','BsmtQual',\n",
    "            'BsmtCond', 'BsmtExposure', 'BsmtFinType1', 'BsmtFinType2',\"PoolQC\"\n",
    "           ,'Alley','Fence','MiscFeature','FireplaceQu','MasVnrType','Utilities']:\n",
    "    data_features[col] = data_features[col].fillna('None')\n",
    "# # For all these categorical basement-related features, NaN means that there is no basement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0            RL\n",
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       "         ...   \n",
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       "2916         RL\n",
       "2917         RL\n",
       "2918         RL\n",
       "Name: MSZoning, Length: 2919, dtype: object"
      ]
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     "execution_count": 174,
     "metadata": {},
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   "source": []
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  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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    "pd.DataFrame([[2,False,4], [2,True,5]]).count()"
   ]
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   "metadata": {},
   "outputs": [
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