Adv Regression.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## House Price Prediction using advanced regression techniques\n",
    "\n",
    "The notebook has following sections:-\n",
    "- Data understanding and exploration\n",
    "- Data cleaning\n",
    "- Data preparation\n",
    "- Model building and evaluation\n",
    "\n",
    "Arockia Liborious"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Data Understanding and Exploration\n",
    "\n",
    "Let's first import the required libraries and have a look at the dataset and understand the size, attribute names etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "from scipy.stats import norm\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from scipy import stats\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reading the dataset\n",
    "house = pd.read_csv(\"train.csv\", na_values=\"NAN\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>Id</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>...</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>1</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>65.0</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>...</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>2</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.0</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>...</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>3</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>68.0</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>...</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>4</td>\n",
       "      <td>70</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.0</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>...</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>5</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>84.0</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>...</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 × 81 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id  MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
       "0   1          60       RL         65.0     8450   Pave   NaN      Reg   \n",
       "1   2          20       RL         80.0     9600   Pave   NaN      Reg   \n",
       "2   3          60       RL         68.0    11250   Pave   NaN      IR1   \n",
       "3   4          70       RL         60.0     9550   Pave   NaN      IR1   \n",
       "4   5          60       RL         84.0    14260   Pave   NaN      IR1   \n",
       "\n",
       "  LandContour Utilities    ...     PoolArea PoolQC Fence MiscFeature MiscVal  \\\n",
       "0         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
       "1         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
       "2         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
       "3         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
       "4         Lvl    AllPub    ...            0    NaN   NaN         NaN       0   \n",
       "\n",
       "  MoSold YrSold  SaleType  SaleCondition  SalePrice  \n",
       "0      2   2008        WD         Normal     208500  \n",
       "1      5   2007        WD         Normal     181500  \n",
       "2      9   2008        WD         Normal     223500  \n",
       "3      2   2006        WD        Abnorml     140000  \n",
       "4     12   2008        WD         Normal     250000  \n",
       "\n",
       "[5 rows x 81 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's take a look at the first few rows\n",
    "house.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1460 entries, 0 to 1459\n",
      "Data columns (total 81 columns):\n",
      "Id               1460 non-null int64\n",
      "MSSubClass       1460 non-null int64\n",
      "MSZoning         1460 non-null object\n",
      "LotFrontage      1201 non-null float64\n",
      "LotArea          1460 non-null int64\n",
      "Street           1460 non-null object\n",
      "Alley            91 non-null object\n",
      "LotShape         1460 non-null object\n",
      "LandContour      1460 non-null object\n",
      "Utilities        1460 non-null object\n",
      "LotConfig        1460 non-null object\n",
      "LandSlope        1460 non-null object\n",
      "Neighborhood     1460 non-null object\n",
      "Condition1       1460 non-null object\n",
      "Condition2       1460 non-null object\n",
      "BldgType         1460 non-null object\n",
      "HouseStyle       1460 non-null object\n",
      "OverallQual      1460 non-null int64\n",
      "OverallCond      1460 non-null int64\n",
      "YearBuilt        1460 non-null int64\n",
      "YearRemodAdd     1460 non-null int64\n",
      "RoofStyle        1460 non-null object\n",
      "RoofMatl         1460 non-null object\n",
      "Exterior1st      1460 non-null object\n",
      "Exterior2nd      1460 non-null object\n",
      "MasVnrType       1452 non-null object\n",
      "MasVnrArea       1452 non-null float64\n",
      "ExterQual        1460 non-null object\n",
      "ExterCond        1460 non-null object\n",
      "Foundation       1460 non-null object\n",
      "BsmtQual         1423 non-null object\n",
      "BsmtCond         1423 non-null object\n",
      "BsmtExposure     1422 non-null object\n",
      "BsmtFinType1     1423 non-null object\n",
      "BsmtFinSF1       1460 non-null int64\n",
      "BsmtFinType2     1422 non-null object\n",
      "BsmtFinSF2       1460 non-null int64\n",
      "BsmtUnfSF        1460 non-null int64\n",
      "TotalBsmtSF      1460 non-null int64\n",
      "Heating          1460 non-null object\n",
      "HeatingQC        1460 non-null object\n",
      "CentralAir       1460 non-null object\n",
      "Electrical       1459 non-null object\n",
      "1stFlrSF         1460 non-null int64\n",
      "2ndFlrSF         1460 non-null int64\n",
      "LowQualFinSF     1460 non-null int64\n",
      "GrLivArea        1460 non-null int64\n",
      "BsmtFullBath     1460 non-null int64\n",
      "BsmtHalfBath     1460 non-null int64\n",
      "FullBath         1460 non-null int64\n",
      "HalfBath         1460 non-null int64\n",
      "BedroomAbvGr     1460 non-null int64\n",
      "KitchenAbvGr     1460 non-null int64\n",
      "KitchenQual      1460 non-null object\n",
      "TotRmsAbvGrd     1460 non-null int64\n",
      "Functional       1460 non-null object\n",
      "Fireplaces       1460 non-null int64\n",
      "FireplaceQu      770 non-null object\n",
      "GarageType       1379 non-null object\n",
      "GarageYrBlt      1379 non-null float64\n",
      "GarageFinish     1379 non-null object\n",
      "GarageCars       1460 non-null int64\n",
      "GarageArea       1460 non-null int64\n",
      "GarageQual       1379 non-null object\n",
      "GarageCond       1379 non-null object\n",
      "PavedDrive       1460 non-null object\n",
      "WoodDeckSF       1460 non-null int64\n",
      "OpenPorchSF      1460 non-null int64\n",
      "EnclosedPorch    1460 non-null int64\n",
      "3SsnPorch        1460 non-null int64\n",
      "ScreenPorch      1460 non-null int64\n",
      "PoolArea         1460 non-null int64\n",
      "PoolQC           7 non-null object\n",
      "Fence            281 non-null object\n",
      "MiscFeature      54 non-null object\n",
      "MiscVal          1460 non-null int64\n",
      "MoSold           1460 non-null int64\n",
      "YrSold           1460 non-null int64\n",
      "SaleType         1460 non-null object\n",
      "SaleCondition    1460 non-null object\n",
      "SalePrice        1460 non-null int64\n",
      "dtypes: float64(3), int64(35), object(43)\n",
      "memory usage: 924.0+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(house.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Summary of the dataset : 1460 rows, 81 columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x144d88090b8>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(house['SalePrice'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Skewness: 1.882876\n",
      "Kurtosis: 6.536282\n"
     ]
    }
   ],
   "source": [
    "print(\"Skewness: %f\" % house['SalePrice'].skew())\n",
    "print(\"Kurtosis: %f\" % house['SalePrice'].kurt())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "var = 'GrLivArea'\n",
    "data = pd.concat([house['SalePrice'], house[var]], axis=1)\n",
    "data.plot.scatter(x=var, y='SalePrice', ylim=(0,800000));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "var = 'TotalBsmtSF'\n",
    "data = pd.concat([house['SalePrice'], house[var]], axis=1)\n",
    "data.plot.scatter(x=var, y='SalePrice', ylim=(0,800000));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#box plot overallqual/saleprice\n",
    "var = 'OverallQual'\n",
    "data = pd.concat([house['SalePrice'], house[var]], axis=1)\n",
    "f, ax = plt.subplots(figsize=(8, 6))\n",
    "fig = sns.boxplot(x=var, y=\"SalePrice\", data=data)\n",
    "fig.axis(ymin=0, ymax=800000);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "var = 'YearBuilt'\n",
    "data = pd.concat([house['SalePrice'], house[var]], axis=1)\n",
    "f, ax = plt.subplots(figsize=(16, 8))\n",
    "fig = sns.boxplot(x=var, y=\"SalePrice\", data=data)\n",
    "fig.axis(ymin=0, ymax=800000);\n",
    "plt.xticks(rotation=90);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#correlation matrix\n",
    "corrmat = house.corr()\n",
    "f, ax = plt.subplots(figsize=(12, 9))\n",
    "sns.heatmap(corrmat, vmax=.8, square=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#saleprice correlation matrix\n",
    "k = 10 #number of variables for heatmap\n",
    "cols = corrmat.nlargest(k, 'SalePrice')['SalePrice'].index\n",
    "cm = np.corrcoef(house[cols].values.T)\n",
    "sns.set(font_scale=1.25)\n",
    "hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f', annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.values)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1260x1260 with 56 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#scatterplot\n",
    "sns.set()\n",
    "cols = ['SalePrice', 'OverallQual', 'GrLivArea', 'GarageCars', 'TotalBsmtSF', 'FullBath', 'YearBuilt']\n",
    "sns.pairplot(house[cols], size = 2.5)\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Missing data\n",
    "\n",
    "Important questions when thinking about missing data:\n",
    "\n",
    "How prevalent is the missing data?\n",
    "Is missing data random or does it have a pattern?\n",
    "The answer to these questions is important for practical reasons because missing data can imply a reduction of the sample size. This can prevent us from proceeding with the analysis. Moreover, from a substantive perspective, we need to ensure that the missing data process is not biased and hidding an inconvenient truth."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>Total</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>PoolQC</th>\n",
       "      <td>1453</td>\n",
       "      <td>0.995205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MiscFeature</th>\n",
       "      <td>1406</td>\n",
       "      <td>0.963014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alley</th>\n",
       "      <td>1369</td>\n",
       "      <td>0.937671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fence</th>\n",
       "      <td>1179</td>\n",
       "      <td>0.807534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FireplaceQu</th>\n",
       "      <td>690</td>\n",
       "      <td>0.472603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LotFrontage</th>\n",
       "      <td>259</td>\n",
       "      <td>0.177397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageCond</th>\n",
       "      <td>81</td>\n",
       "      <td>0.055479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageType</th>\n",
       "      <td>81</td>\n",
       "      <td>0.055479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <td>81</td>\n",
       "      <td>0.055479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageFinish</th>\n",
       "      <td>81</td>\n",
       "      <td>0.055479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageQual</th>\n",
       "      <td>81</td>\n",
       "      <td>0.055479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtExposure</th>\n",
       "      <td>38</td>\n",
       "      <td>0.026027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinType2</th>\n",
       "      <td>38</td>\n",
       "      <td>0.026027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinType1</th>\n",
       "      <td>37</td>\n",
       "      <td>0.025342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtCond</th>\n",
       "      <td>37</td>\n",
       "      <td>0.025342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtQual</th>\n",
       "      <td>37</td>\n",
       "      <td>0.025342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrArea</th>\n",
       "      <td>8</td>\n",
       "      <td>0.005479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrType</th>\n",
       "      <td>8</td>\n",
       "      <td>0.005479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Electrical</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utilities</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Total   Percent\n",
       "PoolQC         1453  0.995205\n",
       "MiscFeature    1406  0.963014\n",
       "Alley          1369  0.937671\n",
       "Fence          1179  0.807534\n",
       "FireplaceQu     690  0.472603\n",
       "LotFrontage     259  0.177397\n",
       "GarageCond       81  0.055479\n",
       "GarageType       81  0.055479\n",
       "GarageYrBlt      81  0.055479\n",
       "GarageFinish     81  0.055479\n",
       "GarageQual       81  0.055479\n",
       "BsmtExposure     38  0.026027\n",
       "BsmtFinType2     38  0.026027\n",
       "BsmtFinType1     37  0.025342\n",
       "BsmtCond         37  0.025342\n",
       "BsmtQual         37  0.025342\n",
       "MasVnrArea        8  0.005479\n",
       "MasVnrType        8  0.005479\n",
       "Electrical        1  0.000685\n",
       "Utilities         0  0.000000"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#missing data\n",
    "total = house.isnull().sum().sort_values(ascending=False)\n",
    "percent = (house.isnull().sum()/house.isnull().count()).sort_values(ascending=False)\n",
    "missing_data = pd.concat([total, percent], axis=1, keys=['Total', 'Percent'])\n",
    "missing_data.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imputing Null Values\n",
    "With data this large, it is not surprising that there are a lot of missing values in the cells. In order to effectively train our model we build, we must first deal with the missing values. There are missing values for both numerical and categorical data. We will see how to deal with both.\n",
    "\n",
    "For numerical imputing, we would typically fill the missing values with a measure like median, mean, or mode. For categorical imputing, I chose to fill the missing values with the most common term that appeared from the entire column. There are other ways to do the imputing though, and I ecnourage you to test out your own creative ways!\n",
    "\n",
    "### Places Where NaN Means Something\n",
    "If you look at the data description file provided, you will see that for some categories, NaN actually means something. This means that if a value is NaN, the house might not have that certain attribute, which will affect the price of the house. Therefore, it is better to not drop, but fill in the null cell with a value called \"None\" which serves as its own category."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#you can find these features on the description data file provided\n",
    "\n",
    "null_has_meaning = [\"Alley\", \"BsmtQual\", \"BsmtCond\", \"BsmtExposure\", \"BsmtFinType1\", \"BsmtFinType2\", \"FireplaceQu\", \"GarageType\", \"GarageFinish\", \"GarageQual\", \"GarageCond\", \"PoolQC\", \"Fence\", \"MiscFeature\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in null_has_meaning:\n",
    "    house[i].fillna(\"None\", inplace=True)\n",
    "    house[i].fillna(\"None\", inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imputing \"Real\" NaN Values\n",
    "\n",
    "These are the real NaN values that we have to deal with accordingly because they were not recorded."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import Imputer\n",
    "\n",
    "imputer = Imputer(strategy=\"median\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>Total</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LotFrontage</th>\n",
       "      <td>259</td>\n",
       "      <td>0.177397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <td>81</td>\n",
       "      <td>0.055479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrType</th>\n",
       "      <td>8</td>\n",
       "      <td>0.005479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrArea</th>\n",
       "      <td>8</td>\n",
       "      <td>0.005479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Electrical</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SalePrice</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Total   Percent\n",
       "LotFrontage    259  0.177397\n",
       "GarageYrBlt     81  0.055479\n",
       "MasVnrType       8  0.005479\n",
       "MasVnrArea       8  0.005479\n",
       "Electrical       1  0.000685\n",
       "SalePrice        0  0.000000"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#missing data\n",
    "total = house.isnull().sum().sort_values(ascending=False)\n",
    "percent = (house.isnull().sum()/house.isnull().count()).sort_values(ascending=False)\n",
    "missing_data = pd.concat([total, percent], axis=1, keys=['Total', 'Percent'])\n",
    "missing_data.head(6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "LotFrontage has too many Null values and it is a numerical value so it may be better to just drop it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "house.drop(\"LotFrontage\", axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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>Total</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <td>81</td>\n",
       "      <td>0.055479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrType</th>\n",
       "      <td>8</td>\n",
       "      <td>0.005479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrArea</th>\n",
       "      <td>8</td>\n",
       "      <td>0.005479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Electrical</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SalePrice</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Total   Percent\n",
       "GarageYrBlt     81  0.055479\n",
       "MasVnrType       8  0.005479\n",
       "MasVnrArea       8  0.005479\n",
       "Electrical       1  0.000685\n",
       "SalePrice        0  0.000000"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#missing data\n",
    "total = house.isnull().sum().sort_values(ascending=False)\n",
    "percent = (house.isnull().sum()/house.isnull().count()).sort_values(ascending=False)\n",
    "missing_data = pd.concat([total, percent], axis=1, keys=['Total', 'Percent'])\n",
    "missing_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "GarageYrBlt, MasVnrArea, and MasVnrType all have a fairly decent amount of missing values. MasVnrType is categorical so we can replace the missing values with \"None\", as we did before. We can fill the others with median."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "house[\"GarageYrBlt\"].fillna(house[\"GarageYrBlt\"].median(), inplace=True)\n",
    "house[\"MasVnrArea\"].fillna(house[\"MasVnrArea\"].median(), inplace=True)\n",
    "house[\"MasVnrType\"].fillna(\"None\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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>Total</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Electrical</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SalePrice</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Foundation</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RoofMatl</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exterior1st</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Total   Percent\n",
       "Electrical       1  0.000685\n",
       "SalePrice        0  0.000000\n",
       "Foundation       0  0.000000\n",
       "RoofMatl         0  0.000000\n",
       "Exterior1st      0  0.000000"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#missing data\n",
    "total = house.isnull().sum().sort_values(ascending=False)\n",
    "percent = (house.isnull().sum()/house.isnull().count()).sort_values(ascending=False)\n",
    "missing_data = pd.concat([total, percent], axis=1, keys=['Total', 'Percent'])\n",
    "missing_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that only one row has a null entry, we will drop the row."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "house.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "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>Total</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SalePrice</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SaleCondition</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RoofMatl</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exterior1st</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exterior2nd</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Total  Percent\n",
       "SalePrice          0      0.0\n",
       "SaleCondition      0      0.0\n",
       "RoofMatl           0      0.0\n",
       "Exterior1st        0      0.0\n",
       "Exterior2nd        0      0.0"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#missing data\n",
    "total = house.isnull().sum().sort_values(ascending=False)\n",
    "percent = (house.isnull().sum()/house.isnull().count()).sort_values(ascending=False)\n",
    "missing_data = pd.concat([total, percent], axis=1, keys=['Total', 'Percent'])\n",
    "missing_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1459 entries, 0 to 1459\n",
      "Data columns (total 80 columns):\n",
      "Id               1459 non-null int64\n",
      "MSSubClass       1459 non-null int64\n",
      "MSZoning         1459 non-null object\n",
      "LotArea          1459 non-null int64\n",
      "Street           1459 non-null object\n",
      "Alley            1459 non-null object\n",
      "LotShape         1459 non-null object\n",
      "LandContour      1459 non-null object\n",
      "Utilities        1459 non-null object\n",
      "LotConfig        1459 non-null object\n",
      "LandSlope        1459 non-null object\n",
      "Neighborhood     1459 non-null object\n",
      "Condition1       1459 non-null object\n",
      "Condition2       1459 non-null object\n",
      "BldgType         1459 non-null object\n",
      "HouseStyle       1459 non-null object\n",
      "OverallQual      1459 non-null int64\n",
      "OverallCond      1459 non-null int64\n",
      "YearBuilt        1459 non-null int64\n",
      "YearRemodAdd     1459 non-null int64\n",
      "RoofStyle        1459 non-null object\n",
      "RoofMatl         1459 non-null object\n",
      "Exterior1st      1459 non-null object\n",
      "Exterior2nd      1459 non-null object\n",
      "MasVnrType       1459 non-null object\n",
      "MasVnrArea       1459 non-null float64\n",
      "ExterQual        1459 non-null object\n",
      "ExterCond        1459 non-null object\n",
      "Foundation       1459 non-null object\n",
      "BsmtQual         1459 non-null object\n",
      "BsmtCond         1459 non-null object\n",
      "BsmtExposure     1459 non-null object\n",
      "BsmtFinType1     1459 non-null object\n",
      "BsmtFinSF1       1459 non-null int64\n",
      "BsmtFinType2     1459 non-null object\n",
      "BsmtFinSF2       1459 non-null int64\n",
      "BsmtUnfSF        1459 non-null int64\n",
      "TotalBsmtSF      1459 non-null int64\n",
      "Heating          1459 non-null object\n",
      "HeatingQC        1459 non-null object\n",
      "CentralAir       1459 non-null object\n",
      "Electrical       1459 non-null object\n",
      "1stFlrSF         1459 non-null int64\n",
      "2ndFlrSF         1459 non-null int64\n",
      "LowQualFinSF     1459 non-null int64\n",
      "GrLivArea        1459 non-null int64\n",
      "BsmtFullBath     1459 non-null int64\n",
      "BsmtHalfBath     1459 non-null int64\n",
      "FullBath         1459 non-null int64\n",
      "HalfBath         1459 non-null int64\n",
      "BedroomAbvGr     1459 non-null int64\n",
      "KitchenAbvGr     1459 non-null int64\n",
      "KitchenQual      1459 non-null object\n",
      "TotRmsAbvGrd     1459 non-null int64\n",
      "Functional       1459 non-null object\n",
      "Fireplaces       1459 non-null int64\n",
      "FireplaceQu      1459 non-null object\n",
      "GarageType       1459 non-null object\n",
      "GarageYrBlt      1459 non-null float64\n",
      "GarageFinish     1459 non-null object\n",
      "GarageCars       1459 non-null int64\n",
      "GarageArea       1459 non-null int64\n",
      "GarageQual       1459 non-null object\n",
      "GarageCond       1459 non-null object\n",
      "PavedDrive       1459 non-null object\n",
      "WoodDeckSF       1459 non-null int64\n",
      "OpenPorchSF      1459 non-null int64\n",
      "EnclosedPorch    1459 non-null int64\n",
      "3SsnPorch        1459 non-null int64\n",
      "ScreenPorch      1459 non-null int64\n",
      "PoolArea         1459 non-null int64\n",
      "PoolQC           1459 non-null object\n",
      "Fence            1459 non-null object\n",
      "MiscFeature      1459 non-null object\n",
      "MiscVal          1459 non-null int64\n",
      "MoSold           1459 non-null int64\n",
      "YrSold           1459 non-null int64\n",
      "SaleType         1459 non-null object\n",
      "SaleCondition    1459 non-null object\n",
      "SalePrice        1459 non-null int64\n",
      "dtypes: float64(2), int64(35), object(43)\n",
      "memory usage: 923.3+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(house.info())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now we will determine the data type of all features remaining"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "types_train = house.dtypes #type of each feature in data: int, float, object\n",
    "num_train = types_train[(types_train == 'int64') | (types_train == float)] #numerical values are either type int or float\n",
    "cat_train = types_train[types_train == object] #categorical values are type object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "object     43\n",
       "int64      35\n",
       "float64     2\n",
       "Name: 0, dtype: int64"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(types_train).reset_index().set_index(0).reset_index()[0].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "#we should convert num_train to a list to make it easier to work with\n",
    "numerical_values_train = list(num_train.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Id', 'MSSubClass', 'LotArea', 'OverallQual', 'OverallCond', 'YearBuilt', 'YearRemodAdd', 'MasVnrArea', 'BsmtFinSF1', 'BsmtFinSF2', 'BsmtUnfSF', 'TotalBsmtSF', '1stFlrSF', '2ndFlrSF', 'LowQualFinSF', 'GrLivArea', 'BsmtFullBath', 'BsmtHalfBath', 'FullBath', 'HalfBath', 'BedroomAbvGr', 'KitchenAbvGr', 'TotRmsAbvGrd', 'Fireplaces', 'GarageYrBlt', 'GarageCars', 'GarageArea', 'WoodDeckSF', 'OpenPorchSF', 'EnclosedPorch', '3SsnPorch', 'ScreenPorch', 'PoolArea', 'MiscVal', 'MoSold', 'YrSold', 'SalePrice']\n"
     ]
    }
   ],
   "source": [
    "print(numerical_values_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These are all the numerical features in our data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['MSZoning', 'Street', 'Alley', 'LotShape', 'LandContour', 'Utilities', 'LotConfig', 'LandSlope', 'Neighborhood', 'Condition1', 'Condition2', 'BldgType', 'HouseStyle', 'RoofStyle', 'RoofMatl', 'Exterior1st', 'Exterior2nd', 'MasVnrType', 'ExterQual', 'ExterCond', 'Foundation', 'BsmtQual', 'BsmtCond', 'BsmtExposure', 'BsmtFinType1', 'BsmtFinType2', 'Heating', 'HeatingQC', 'CentralAir', 'Electrical', 'KitchenQual', 'Functional', 'FireplaceQu', 'GarageType', 'GarageFinish', 'GarageQual', 'GarageCond', 'PavedDrive', 'PoolQC', 'Fence', 'MiscFeature', 'SaleType', 'SaleCondition']\n"
     ]
    }
   ],
   "source": [
    "categorical_values_train = list(cat_train.index)\n",
    "print(categorical_values_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These are all the caregorical features in our data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Preparation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ok, now that we have dealt with all the missing values, it looks like it's time for some feature engineering, the second part of our data preprocessing. We need to create feature vectors in order to get the data ready to be fed into our model as training data. This requires us to convert the categorical values into representative numbers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x144de300160>"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(house[\"SalePrice\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x144de38a4a8>"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAEFCAYAAAD+A2xwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzt3Xl8VOW9P/DPObNnZrJP9gyEQMJOiCy2GGpFxBVUZNNG27pg6/Jry73Ve38Wld4bKS7XirZerNp7qUqo9odb3VAxssgSCBAgZCU7ySSZJDOTzHrO748hA5GQScLMnHNmvu/XKy+SOWfmfDjJfPPkOc95HobneR6EEEIkixU6ACGEkMtDhZwQQiSOCjkhhEgcFXJCCJE4KuSEECJx8lAf0O32wGzuC/VhRy0uLopyBhDlDCzKGVhSyGkw6C+5LeQtcrlcFupDjgnlDCzKGViUM7CkkvNSqGuFEEIkjgo5IYRI3IgK+dGjR1FYWHjR4x999BFWrFiB1atXY/369eA4LuABCSGEDM9vIX/ttdfwxBNPwOFwDHrcbrfjxRdfxP/+7/9i27ZtsFqt+Prrr4MWlBBCyND8FnKj0YjNmzdf9LhSqcS2bdug0WgAAG63GyqVKvAJCSGEDMvv8MMlS5agqanposdZlkViYiIAYOvWrejr68OCBQtGdNDhhtGICeUMLMoZWJQzsKSScyiXNY6c4zg8++yzqKurw+bNm8EwzIieZzJZLuewIWEw6ClnAFHOwKKcgSWFnMP9ormsQr5+/XoolUr86U9/AsvSABhCCBHCqAv5hx9+iL6+PkyfPh3vvvsu5syZg3vuuQcAcPfdd2Px4sUBD0kIIeTSRlTIMzIysH37dgDALbfc4nu8oqIiOKkIEYFdZc3Dbr86Lz1ESQgZHvWHEEKIxFEhJ4QQiaNCTgghEkeFnBBCJC7k85ETEmh0UZJEOmqRE0KIxFEhJ4QQiaNCTgghEkeFnBBCJI4KOSGESByNWiFhb7hRLTSihYQDapETQojEUSEnhBCJo0JOCCESR33kJGz1O9yoauyGWiVHdlo0ZDJqt5DwRIWchB0Px+NEXRfKazvh9vAAgLKqDkzLisfU8XEjXpKQEKmgJgoJO2VVJpRVdUAuYzF3ShKmZ8XDw/EoPW3CoQoTeJ4XOiIhAUUtchJWrP0unKrvhlYtxy0LxkOpkAEApmbF4fMDjThVbwbLMsjPSaSWOQkb1CInYeVodQc4jkfepERfEQcAtVKOxXMzER2l8Ha71HUJmJKQwKJCTsKG2eJATXMvYnVKZKVFX7Rdo5Jj8bxMRKnlOFLZgbrWXgFSEhJ4VMhJ2Cir6gAA5OcYwF6i20SrVmDRFRlQyFjsOX4WlY3doYxISFBQISdhweHyoMlkRXy0CukG7bD7xulV+NHsNPA8jz++eww1LT0hSklIcFAhJ2Gh2WQFzwPjkvUjuoiZlqjFVTNS4XB68Py2MmqZE0mjQk7CQkObFQCQmawb8XOy0qLx4LJpcLk5vLC9DPtOnA1WPEKCioYfEsnzeDi0dNigj1IgRqsc1XPnTE6CXMbivz88gdc+PInKpl6s+NEERKnprUGkg1rkRPJaO/vg9vAwJuvGNDY8b1Iinv7ZXExIi8Y3R5rw5BsHqKuFSAoVciJ5De3nulWSRt6t8n1JcVF4/K58rF6ciy6LHX94+zDKqjroLlAiCSMq5EePHkVhYeFFj3/11VdYvnw5Vq1ahe3btwc8HCH+cByPpnYr1EoZEmM1l/VachmLu66fjMfvykdCtBrHajqx/2QbFXMien4L+WuvvYYnnngCDodj0OMulwvPPPMM3njjDWzduhXFxcUwmUxBC0rIUOrO9sLu9CAjSXfJseOjNSkjFut/OhdxehUqG3uw7wQVcyJufgu50WjE5s2bL3q8pqYGRqMRMTExUCqVuOKKK3Do0KGghCTkUgb6slMTogL6ujqNAtfNzURCtArVTT04VtMZ0NcnJJD8XppfsmQJmpqaLnrcarVCr9f7vtZqtbBarSM6qMGg97+TCFDOwApGzkaTDQCQlR4LfdToRqwAQ2caeCwxXotbr56IbZ+fxvHaLkzLTkScXj3sc0NJ6OOPFOUMvjGPsdLpdLDZbL6vbTbboMI+HJPJMtbDhozBoKecARSMnDzP40Rtp3eoIMfBYrWP+jW+n+nCnAOvN2dyEr4pa8GXBxtw3dxM38gYIc97JH/fg0EKOYf7RTPmUSvZ2dmor69Hd3c3nE4nDh06hNmzZ4/15QgZtXZzPyx9LiRd5kVOf4zJOmQYtGjr6kdtC020RcRn1C3yDz/8EH19fVi1ahUef/xx3HvvveB5HsuXL0dycnIwMhIypOpm7xwphrjgFnKGYTBvajLO7q7D4coOZKVGg2VpLnMiHiMq5BkZGb7hhbfccovv8WuuuQbXXHNNcJIR4kdVk7eQB7tFDngvfk7MiEFFfTca260YlyLd/lQSfuiGICJZ1c09UClkiNOrQnK83MxYAEBFgzkkxyNkpKiQE0my2V1o6bBhQlroujlidCqkJEShrasf3VaH/ycQEiJUyIkk1ZzrH89OjwnpcQda5acbaC4WIh40xRuRhF1lzYO+PlLpvYu43+EGEJquFcA7n0uUSo7a5l70O9zQqOgtRIRHLXIiSR093jHeibFqP3sGFssymJQZA5eHw5EqmpKCiAMVciI5PM+jq9cBnUYBlUIW8uMPjFg5XNkR8mMTMhQq5ERy+uxuOFwexEeHrkvlQrE6FaK1SpTXdsLh8giSgZALUSEnktPZ6+1WSYgObbfKhYzJOjjdHMpruwTLQMgAKuREcrp6vUP/hGqRA95CDgCHK6mfnAiPCjmRnK5zLfJ4AVvkCdFqxOlVOFrdAbeHEywHIQAVciJBXRYHNCqZoEP/GIZBfo4BfQ43jSkngqNCTiTF7nSjz+4WtDU+ID/HAIC6V4jwqJATSTnfPy58Ic/JjIFGJcfx2k5aCo4Iigo5kZQu34gV4S50DpCxLKaOj0NHjx1t5n6h45AIRvcXE0npHGiR6wPTIv/+rf96nXpUKw1Nz4pH6WkTyms7kRIf2HVDCRkpapETSenqtUOpYKHViKMNMj0rAQBQXkfjyYlwqJATyXC5OVj6XIjXq33rZgotIUaN1IQoVDSY4XLTMEQiDCrkRDK6Ld5ulVAtJDFS07Li4XRxqG6iYYhEGFTIiWSYreIs5NS9QoRGhZxIhvlcizxWZIU81xgLuYylQk4EQ4WcSMZA10qsTilwksFUChlyMmPQ2G6lJeCIIMRx6Z8QP3ieh9nqQHSUAnKZONofFw5dHJgu4L1vapCdHoOr89KFikUikDjeEYT40e9ww+niRNetMiAtUQsAaO6wCZyERCIq5EQSzBYnAPFd6BwQq1MiSiVHa0cf3a5PQo4KOZEEs8V7t6VYCznDMEhNjILD5fHdfUpIqFAhJ5LQbfW2yGN14izkwPnulRbqXiEhRoWcSILZ4oBcxkAfpRA6yiWlJlAhJ8KgQk5Ez+3h0GN1IFanEs2t+UNRK2VIjFHD1N2PPrtb6Dgkgvgt5BzHYf369Vi1ahUKCwtRX18/aPvrr7+O22+/HcuXL8cXX3wRtKAkcrV19YHjxXcj0FDSErXgeeBUvVnoKCSC+C3kO3fuhNPpRHFxMdatW4eNGzf6tvX29mLr1q3Ytm0b3njjDRQVFQU1LIlMTSZvV0WciPvHBwz0k5+o6xQ4CYkkfm8IKi0tRUFBAQAgLy8P5eXlvm0ajQZpaWno7+9Hf3//iP/sNRj0Y4wbWpQzsMaas8vWCABIS9JBrwv+ykCXcwxtlApKRRNONnQjMVEX1K6gcP++h5pUcg7FbyG3Wq3Q6XS+r2UyGdxuN+Ry71NTU1Nx0003wePxYO3atSM6qMlkGWPc0DEY9JQzgC4nZ+UZ7xwmKjkzqkUfxmK0C0sMJSU+Cg1tVpRXtgdtsYlI+L6HkhRyDveLxm/Xik6ng812/io8x3G+Il5SUoL29nZ8+eWX2LVrF3bu3Iljx44FIDIh5zWZbNCoZFArpTGjxED3Snktda+Q0PBbyPPz81FSUgIAKCsrQ05Ojm9bTEwM1Go1lEolVCoV9Ho9ent7g5eWRJw+uxudvXZRjx//Pl8hp9kQSYj4beIsXrwYe/bswerVq8HzPIqKivDmm2/CaDRi0aJF2Lt3L1auXAmWZZGfn48FCxaEIjeJEM0dVgDivaNzKDqNYtCqQQo5jfIlweW3kLMsiw0bNgx6LDs72/f5o48+ikcffTTwyQjBBSNWJFTIAe+qQTsPNaG6qRtTxscLHYeEOWoqEFFrave2yKXUtQLQqkEktKiQE1FrMlnBMOJbTMKfgVWDjtEFTxICVMiJaPE8jyaTDSnxUZCJZDGJkVIpZJg6Pg7NJhvazH1CxyFhTlrvDhJRunod6He4kW7Q+d9ZhObkJgEASk+bBE5Cwh0VciJaTSZv/3iGQStwkrHJm5QIGcvgUEW70FFImKNCTkRroJBnSrRFrtMoMNkYizNnLejo6Rc6DgljVMiJaA0MPUxPkmYhB4ArJnu7Vw5T9woJIirkRLSaTFaoFN45vqUqf5IBDAMcokJOgogKOREll5vD2c4+ZCRpwYp4MQl/orVK5GTEorq5B2YLreVJgoMKORGllg4bPBwv2f7xC82d4u1e2X+yTeAkJFxJYzo5EnEaz93RmSnh/vEB86YkY9uXVdhzvBVL5mXim6Mtw+5/dV56iJKRcEEtciJKvhErSdKd7H+ATqNA3sRENHfYcOasuOe8JtJEhZyI0kCLPF2iY8i/b8GMVADAnuOtAich4YgKOREdnufR2G5FUqwGGlV49P5NnxCPaK0S+0+2wcNxQschYYYKORGdbqsT1n5XWPSPD5CxLH44LQU2uxtN7Tb/TyBkFMKjuUMkb1dZs+/zgf5xN8cNelzqFsxIwacHGlDZ2I1xKdLv+yfiQS1yIjrmXu94a6ktJuFPukGHnIwYtHb2ocdKY8pJ4FAhJ6IzcONMuBVyALh2TiYAoKKhW+AkJJxQISeiY7Y4oJCz0GkUQkcJuNk5iYhSy1HT3AOnyyN0HBImqJATUXF7OPTanIjTq8BI+Nb8S5GxLHIzY+H28Khp7hU6DgkTVMiJqHRbneARnt0qAyZlxoBlGVQ0mMHzvNBxSBigUStEVMwWOwDpF/LhRtuolXJkpepR09yL5g4bMsJgPhkiLGqRE1EJ1xEr3zd5XBwAoKLeLHASEg6okBNRGRixEqsL70KeEK1GUpwGLR196LE6hY5DJI4KORENnudhtjgQHaWAQh7+P5qTjbEAgIoGapWTyxP+7xYiGTa7G043h7ho6a4INBrGZD2iVOeGIrppKCIZOyrkRDTC+UagobAsg1zjuaGITTQUkYyd30LOcRzWr1+PVatWobCwEPX19YO2f/PNN1i5ciVWrlyJp556ioZTkTEbKOTxEVLIgXNDERkGp2koIrkMfgv5zp074XQ6UVxcjHXr1mHjxo2+bVarFc8++yxeffVVbN++Henp6TCbqb+PjI25NzyGHo6GWinH+FQ9evtcaO3sEzoOkSi/48hLS0tRUFAAAMjLy0N5eblv25EjR5CTk4M//OEPaGxsxIoVKxAfH+/3oAaDNGZ+o5yBNVxOvU6NbpsTKoUMyYk6Qe/q1OtC20efPzkZtS29qG7uRe74hBF/P8Ph+y4mUsk5FL+F3Gq1Qqc7f8OCTCaD2+2GXC6H2WzG/v37sWPHDkRFReGuu+5CXl4esrKyhn1Nk0n8y10ZDHrKGUD+cnZ1e4fhJcdpYLUJNzOgXqeGxWoP6TGjlCwSY9Q409qLlvbeEX0/w+X7LhZSyDncLxq/XSs6nQ422/mJ8DmOg1zurf+xsbGYMWMGDAYDtFot5syZg1OnTgUgMok03eemdY2LjpxulQvlnhuKWNlIsyKS0fNbyPPz81FSUgIAKCsrQ05Ojm/b9OnTUVlZia6uLrjdbhw9ehQTJ04MXloSts6PWImMoYffNz5VD7VShqqmHjhoVkQySn67VhYvXow9e/Zg9erV4HkeRUVFePPNN2E0GrFo0SKsW7cO9913HwDg+uuvH1ToCRmpSByxciEZy2JSRgyO13Zh/8k2LJyVJnQkIiF+CznLstiwYcOgx7Kzs32f33TTTbjpppsCn4xElM4eOxgGiNUphY4imJzMWJTXdeGr0iYUzEwNy2l8SXDQDUFEcB6Og9niQKxOBZkscn8ktRoFMpN0aGi3orq5R+g4REIi911DRKO1ow8ejkdChNyaP5yBWRG/LG0SOAmREirkRHBnznqHfcXHRGb/+IWS4zRIN2hRetrkG8lDiD9UyIng6s8VcmqRAwzD4JrZ6fBwPPYcbxU6DpEIKuREcGfaesEwkXVr/nDmT02BUs7i26Ot4Gj+FTICVMiJoDwch8Y2K2J1Ksgj+ELnhaLUcsydnIT27n6cphWEyAjQO4cIqrWzD043h/gIvaPzUhbmeceRlxyj7hXiHxVyIijqHx/axPQYpCZEofR0O6z9LqHjEJGjQk4ENTBiJSGGCvmFGIZBwcw0uD089p04K3QcInJUyImg6tssYBmGLnQO4YczUiBjGZQcbaFFJ8iwqJATwXAcj4Y2C1ITo+hC5xCio5SYnWNAs8mGulZxT7FKhEXvHiKY5g4bnC4OWSnRQkcRrYWzUgEAJUebBU5CxIwKORFMbYt3PpEJ6VTIL2Xq+HgkRKux/2Q7+h1uoeMQkaJCTgRT0+JdOT47LUbgJOLFMgwKZqbC4fLgYEW70HGISFEhJ4KpbemFSiFDeqJW6CiidtXMVDAMUHK0RegoRKSokBNB9NndaO2wIStVD5alebeHEx+txowJCaht6UWzySp0HCJCVMiJIOrO9oIHMIG6VUakYKb3oue3dKcnGQIVciKIWl//OF3oHIlZExOhj1Jgb/lZuD2c0HGIyPhd6o2QYKg9twLOBCrkF9lVNvRQw8wkHU6eMaOsqgOpKfSXDDmPWuQk5HieR01LLxKi1YjR0R2dIzUxw1u86aIn+T4q5CTkTD12WPtdyKbx46MSq1MhOz0aJ+q60G7uEzoOEREq5CTkfN0qqVTIR6tgZhp4AF8ebBQ6ChER6iMnIVfZ2A0AyM6gft7Rcrg8kMsYfPhtLWTgwDCDh25enZcuUDIiJGqRk5A73dgNlVKG8Sl6oaNIjkLOYnxKNCx9TrR2UvcK8aJCTkKqx+YtQJPSYyBj6cdvLAYuelY39QichIgFvZNISJ1u8K5BmWuMFTiJdBli1YjTq9DQboXD6RE6DhEBKuQkpE6f6x/PNcYJnES6GIbBlPHx4Dgeta29QschIuC3kHMch/Xr12PVqlUoLCxEfX39kPvcd999eOedd4ISkoSPyoZuKBUs9Y9fptxxcWAYoKqxm1YPIv4L+c6dO+F0OlFcXIx169Zh48aNF+3z4osvoqeH+uvI8Hr7nGjusGFiegytCHSZotQKGJP16LY60dFtFzoOEZjf4YelpaUoKCgAAOTl5aG8vHzQ9k8//RQMw2DhwoUjPqjBII3WGOUMrLM9DgBA/pTkizLrdeJZfFlMWYaTl2NA/VkLalstmJDp7aoS48+CGDMNRSo5h+K3kFutVuh0Ot/XMpkMbrcbcrkclZWV+Oijj/DSSy/hlVdeGfFBTSbxrz9oMOgpZwAZDHocLPfO3JcRH3VRZotVHK1KvU4tmizD0evUiNbIER2lQFVTN2ZNTIBaKRPdz4KUfj7FnnO4XzR+C7lOp4PNZvN9zXEc5HLv03bs2IG2tjbcc889aG5uhkKhQHp6+qha5yRyVNSboZCzyKI7OgOCYRjkZMbi0GkTapp7MC0rXuhIRCB+C3l+fj6+/vpr3HjjjSgrK0NOTo5v229/+1vf55s3b0ZiYiIVcTKktq4+NHfYMDM7AQo59Y8HSnZ6DA5XdaCysRtTx9NIoEjlt5AvXrwYe/bswerVq8HzPIqKivDmm2/CaDRi0aJFochIwsChk2cBALOyEwROEl4G7pCtbemlOz0jmN9CzrIsNmzYMOix7Ozsi/Z75JFHApeKhJ2Dp9oAADOzEwVOEn4mj4tDbUsvTtWbhY5CBEJ/45Kgczg9OFbdgQyDDgkx0hgRIiWJMWoYYjVoNtnQ2mnz/wQSdqiQk6A7Wd8Fl5vDrInUrRIsA/3jO0ubBE5ChECFnATd0epOAN51J0lwZCbpoFXLsed4K2x2l9BxSIjRfOQkqHiex9GaDkRrlWhot6DJZBU6UlhiWQaTx8Wh9LQJJWUtuOHKcUJHIiFELXISVHWtFvRYnZgzJRns9xZBIIE1KSMGaqUMnx9shMtNsyJGEirkJKj2nrubs4BWrgk6pUKGH+eno8fmxO7jZ4WOQ0KICjkJGpfbg/0n2xCjU2J2jkHoOBHhurlGKOQsPvmuHm4PJ3QcEiJUyEnQlFV3wmZ344fTUiCj2Q5DIkarRMHMVHT02HHg3Nh9Ev7o3UWCZvcxb7fKghmpAieJLNfPN0LGMvh4Xz04juYqjwRUyElQmC0OlNd1YkJaNNIStULHiSiJMRr8YHoKWjv7sP8ktcojARVyEhR7y1vB89QaF8rSBeMhYxns2F1LfeURgMaRk4BzujzYeagJKqUM86ckCR0nIiXGaHD17HR8WdqE3cdacfXsdOwqa77k/lfTqCJJoxY5CbhdZS3osTlx7RUZiFIrhI4TsW7+wTgo5Sw+2FMHp4vGlYczKuQkoJwuDz75rh4qpQxL5hmFjhPRYnQqXDsnE91WJ83BEuaokJOAurA1rtNQa1xoN15phE6jwEd7z6Df4RY6DgkS6iMnozJcP6vT5cE/v2ug1riIRKkVWHZVFt76ohJlVR34wfQUoSORIKAWOQmY0tMm9NqcuGG+kVrjInL17DSkJWpR3dQDs0X8C0uT0aNCTgLibGcfqpp6kGHQ4kaaeU9UZCyLVddMBA/gYIUJPE83CYUb6lohl83t4bC3/CwYADMnJmD38daL9tHraGUgIc2YkID0RC2aO2xoMtmQmaQTOhIJIGqRk8t28FQ7rP0uTM2KQ2KMRug45BKumGwAwwCHKtrhoVv3wwoVcnJZalt6UdXUgzi9ilYAErlYnQo5mbGw9LlwuoEWag4nVMjJmPVYHfjuxFkoZCx+lJcGOc1wKHqzJiZCKWdxrLoTdicNRwwX9M4jY+L2cPimrAVuD48fTE9GtFYpdCQyAmqlDLMmJsLp5lB62iR0HBIgVMjJmOw/2YZuqxO5xliMT40WOg4ZhVxjLOL0KtQ096Ktq0/oOCQAqJCTUatp7kFNcy8SolWYM5lW/pEalmVw5bRkAN5fyDRnufRRISej0mtz4rsTbVDIWSzMS4OMpR8hKTLEajApIwbdVidOnukSOg65TDSOnIwYx/PYW34WHo7Hghkp0EdRv7jYDDeFwvfl5xjQ2G7FsZpOdPT009BRCfPbnOI4DuvXr8eqVatQWFiI+vr6Qdv/+te/YsWKFVixYgVefvnloAUlwvv6cDPazf0wJuuoXzwMqJQyXJFrgNvD4+0vqoSOQy6D30K+c+dOOJ1OFBcXY926ddi4caNvW2NjIz744ANs27YNxcXF2L17NyoqKoIamAjD1N2Pd3fVQKlgMX9qstBxSIBMSItGcpwGZdUdOFJJo1ikym8hLy0tRUFBAQAgLy8P5eXlvm0pKSn4y1/+AplMBpZl4Xa7oVKpgpeWCObtLyrhcHkwb0oSNCrqkQsXDMNg/rRkyFgGb+2spKluJcrvO9JqtUKnOz8vg0wmg9vthlwuh0KhQHx8PHiex6ZNmzB16lRkZWX5PajBoL+81CFCOb2OnG7H0ZpOzMhOxMxJSWAYZkyvI5X5ViItp16nxh2LJqH4i0r8v91n8H9Wzw7I6w6g91Hw+S3kOp0ONpvN9zXHcZDLzz/N4XDg3//936HVavHkk0+O6KAmk2UMUUPLYNBHbM4LL5hxHI+P9p4BAIxL1sJqc4zpNfU6NSxW8U+hGqk5F+WlYd+xFuw82IApmTGYnROYYaWR/D4KtOF+0fjtWsnPz0dJSQkAoKysDDk5Ob5tPM/jl7/8JXJzc7FhwwbIZLIAxCViUt3Ug26rExPTYxAfLY2WKhk9uYzF/TdPhVzG4q+fVqDX5hQ6EhkFvy3yxYsXY8+ePVi9ejV4nkdRURHefPNNGI1GcByHAwcOwOl04ttvvwUA/OY3v8Hs2YH904wIw+XmUFbdAbmMQd4kmhAr3KUbdFj+owko/qoaWz48gd+szAPLjq0bjYSW30LOsiw2bNgw6LHs7Gzf58ePHw98KiIKFfVm2J0ezJqYgCg1XeCMBIvnZuJ0QzfKqjuwY3ctbl+Y7f9JRHB0Wx4ZktPlwYm6LigVLKaMjxM6DgkRlmFw381TYIhV46O99Sir6hA6EhkBKuRkSCfPmOF0c5ieFQ+lnK59RJIotQIP3TYDCjmL//7wBBraxH0RkNAt+mQIdqcbp86YoVbKkGuk1ngkMibrcf/NU/HnHeX4r78fxaIrMi65oPbVeekhTke+j1rk5CIn6sxweTjMmJAAhZx+RCLVnMlJWHnNRPRYnfiqtAkOp0foSOQS6F1KBumxOlBRb0aUSo6czBih4xCBXTc3E9dekYFuqxM7DzXC6aJiLkZUyMkgH++rh4fjMTM7ATJaui3iMQyD1ddOwsSMGHT2OrDzUBOcbirmYkPvVOLT1WvHrrJm6DQKZGdQa5x4sQyDH0xLxoS0aHT02PHloSa43JzQscgFqJATnw/3noHbc641TjeCkAswDIMfzkjB+FQ9TN12fFVKxVxMqJATAEBzhw0lR1uQEh+FCWk01zi5GMswuGpGKsYl69Bm7sfXh5upmIsEDT8kAIC/f10NngdW/DgbPTTPRsQZ6cpCLMugYFYa+KMtaGiz4qvDTSiYmQq1kkqJkKhFTnDiTBeO1XRisjEWeRNpThUyPJZlsHBWGozJOrR19eO/th+lecwFRoU8wnEcj+1fVYMBsOqaSWOea5xEloFiPi5Fj6qmHrywvYyKuYCokEe4nYca0dhuxQ+mp2BcinQn1iehx7IMCmam4sqpyahp7sVz28rQZ3cJHSvBrPmJAAAPu0lEQVQiUSGPYG1dfXivpBY6jQIrfzxR6DhEgliWwX03T8UPpqWgrrUXz24rg7WfinmoUSGPUBzH4/V/noLLzeEn1+UgWqsUOhKRKJZlcO9NU3DVjFTUn7XguW1HqJiHGBXyCPXJ/npUN/VgTq4B86YkCx2HSBzLMvjpjZOxcFYaGtqs2PT2EfRYx7YsIBk9GjMUgQ6casN739QiVqfET67LFToOkbgLhy6OS9Eh1xyL0w3d+N3rB/DCr35ERSYEqEUeYU43mPGXj05CrZTh1yvzqEuFBBTDMJg3JQkzsxNg7Xfht5u/RV1rr9Cxwh4V8ghyuNKEP757DDwPPHTbDGQm6YSORMIQw3jXeJ03NQk9Ngc2vnUY+0+2CR0rrFEhjwBuD4f3vqnBy/84Do7jsXbpNEzLihc6Fglzk41xeOLn8yFjGfz3Byfw96+r4fbQLf3BQN1XYczt4bCv/Cw+3HsGHT12JMVq8NDt1BInoTNvagr+791zsPm9Y/hkfwMqGsx44JZpSI6PEjpaWKFCHkY8HIe2rn40tFlwvLYTx2o6YbO7IZcxWJSfgVsXZkGrHnq5LkKCJT1Ri/X3zMVbX5zGvhNteOrNg1i6YDyunZNJK1AFCBVyCeJ5Ht1WJ/753Rn0OTm0ddpgtjjQY3WC43nffnF6FX44PRXXzzciTq/yPT7SCZIIuVyf7jsDi9UOAJiUGQu5nMWBk+34+64afHqgAYXX5SI/xwCWpk2+LFTIJcDDcahp7sXx2k7UNPegsd0Km33wvBYylkGcXoVYvRJxOhWSE6IQr1eBYRgcrekQKDkhg2WlRiMtUYujVR043diNP+0oR1KsBtfOycC8Kck0imqMqJCLVI/Vgb/vqkFzhw2tHTY4L5j3WR+lgDFZhzi9CmkGPVRyBvooBU14RSRBpZBh3tRk5BrjYLY4sLf8LN7eWYV3vqxCbmYspmXFY2J6DManREOllAkdVxKokIuEh+NQ2+JtdR+v6UJ9m8W3TauWY3yqHukGHVLiowb1K+p1at+froRISYxOiWVXZeG2hROw/8RZHDzdjoqGblQ0dJ/fR6uEIU4DQ4wGSXEaJMaokRCtRkKMGnF6FeS0riwAKuQ+u8qawfE8nC4P7E4PFAo5LFYHOJ6HjGUwZ3IS9BoFYrSqgLUSzBYHTp7pwvHaTpyo6/J1l8hYBlPGxSFKLUe6QYsYrZJa2yRsxWiVuG6eEdfNM6LH6kBVUw+qmnpQXtcJS58LNc09qG7queh5DACNWg6tWgGtRg6dRuH7WJSfgfhodcRcTGV4/oKrY0PgOA5PPfUUTp8+DaVSif/4j//AuHHjfNu3b9+Obdu2QS6X4xe/+AV+/OMf+z2oyWTxu0+w9NldaO/uh6nbjnZzH0zddpi6vSM9+uxuDHsyzpHLGGhUcqiVcmg1ckwZF4d4vbelEKtXQqtWQKOSg2UYADzsTg8sfS6YLQ60dNrQbLKiurkHpu7zLekotRwZBi3SErVITdCO+AdQKi1yyhlY4ZLz6rz0S24buCjPcTys/S5Y+lyw2V2w9btg7XfBZnfD1u9Cn8ONoaoYAyBWr0JCjBrxehU0Kjk0KjnOdvVBIWMhl7OQsQzkMga6KBWcTjdkMgbzpyRDqZAhSiVHlFoumla/wXDpaab9tsh37twJp9OJ4uJilJWVYePGjfjzn/8MADCZTNi6dSvee+89OBwO3HnnnViwYAGUyuBcsLDZXXA4PeA4Hh6eB8d5PzznPuxOD/odbvQ73OhzeL/J3VYHunodMFsc6LLY0e/wDPnaGpUcibHqcwVaBq1GCY+HA8sAHO/t+rA7PbA7POh3utHv8KCjpx+mbuBM6+h/MWnVcszKToBcziI9UYsYHbW6SeQZyQgqlmUQrVVe8kIox/G+97v13IdOo0BHtx0dPXZvi34kLbRzPvmuYdDXSjkLzbmiHnXul4Hv83P/nv9c4ftcKWfBMgwYxnu3q+zc/yMY/Bby0tJSFBQUAADy8vJQXl7u23bs2DHMnj0bSqUSSqUSRqMRFRUVmDlzZsCDHqky4eX3jo+oxTyUKJUcCdFqxEerkRSrgWHg41y/274TZwftP5IWD8fz6Le7kZMZi85eO7p6Hei2OtBn9/4yGWglqJQy6KMUiNEqkZbgbXUb4jRgGYaGAhJymViW8XWpDMzjeWFL3+3hYOlzeRt5Tjf2n2yDy83B7eHg8fBwcxzkchn6+l3wcDxS46PgcHl8DcI+u/dfa78L7eZ+eLixViHg1quysPSqrMv8H1/MbyG3Wq3Q6c7fCSiTyeB2uyGXy2G1WqHXn2/ua7VaWK1Wvwcd7k+ES7nOoMd1P5ww6ueN1Iq02KC99rDHXTxZkOMSEklSL/j8ylkZguUIFr+dPzqdDjabzfc1x3GQy+VDbrPZbIMKOyGEkODzW8jz8/NRUlICACgrK0NOTo5v28yZM1FaWgqHwwGLxYKamppB2wkhhATfiEetVFZWgud5FBUVoaSkBEajEYsWLcL27dtRXFwMnuexdu1aLFmyJFTZCSGEYASFnBBCiLiJY4AkIYSQMaNCTgghEkeFnBBCJC7ghfzo0aMoLCwEANTX12PNmjW488478eSTT4LjBi/zZLfb8cgjj+DOO+/E/fffj66urkDHCUhOnudRUFCAwsJCFBYW4vnnnxck54CioiK88847F+3LcRzWr1+PVatWobCwEPX19aGKOaqcAHDrrbf6zue//du/hSIigME5T506hTvvvBOFhYW499570dExeLpfsZxPfzkBcZzP6upqrFmzBqtXr8ZTTz0Fj2fwXdRiOZ/+cgLCnc8x4wNoy5Yt/M0338yvWLGC53meX7t2Lf/dd9/xPM/zv/vd7/jPP/980P5vvPEG/9JLL/E8z/MfffQR//vf/z6QcQKW88yZM/zatWtDkm24nJ2dnfy9997LL1q0iH/77bcv2v+zzz7jH3vsMZ7nef7IkSP8gw8+KMqcdrudX7ZsWUiyXej7Oe+66y7+5MmTPM/z/DvvvMMXFRUN2l8s59NfTrGcz1/84hf8gQMHeJ7n+ccee+yi95FYzqe/nEKdz8sR0Ba50WjE5s2bfV+fOHEC8+bNAwAsXLgQe/fuHbT/hbf/L1y4EPv27QtknIDlPHHiBNra2lBYWIj7778ftbW1guS02Wx45JFHsGzZsiH3H246BTHlrKioQH9/P37+85/j7rvvRllZmSA5X3jhBUyZMgUA4PF4oFKpBu0vlvPpL6dYzufmzZsxd+5cOJ1OmEwmJCQkDNpfLOfTX06hzuflCGghX7Jkie+uT8DbJTEwEZRWq4XFMnhyqQtv8R9qe7CMNqfBYMADDzyArVu3Yu3atfjXf/1XQXJmZmZi1qxZl9z/UtMpBNtoc6rVatx77714/fXX8fTTT+Nf/uVfBMmZlJQEADh8+DD+9re/4ac//emg/cVyPv3lFMv5lMlkaG5uxs033wyz2YysrMFziojlfPrLKdT5vBxBvdjJsudf3mazITo6etD2C2/xH2p7qPjLOX36dCxatAgAMGfOHLS1tYEX4fD74aZTEJOsrCwsXboUDMMgKysLsbGxMJlMgmT55z//iSeffBJbtmxBfHz8oG1iOp/D5RTT+UxPT8fnn3+ONWvWYOPGjYO2iel8DpdTTOdzpIJayKdOnYr9+/cDAEpKSjBnzpxB2/Pz8/HNN9/4tl9xxRXBjHNJ/nK+/PLL+J//+R8A3j+70tLSRDnl7HDTKYjJu+++63vztLW1wWq1wmAwhDzH+++/j7/97W/YunUrMjMzL9oulvPpL6dYzueDDz6IM2fOAPD+ZXthAwkQz/n0l1Ms53M0glrIH3vsMWzevBmrVq2Cy+Xy3b7/85//HE6nE2vWrEFVVRXWrFmD4uJiPPzww8GMM+acDzzwAA4ePIif/OQneOaZZ/DMM88IkvNSfvvb36KlpQWLFy+GUqnE6tWr8cwzz4juavtAzjvuuAMWiwVr1qzBr3/9axQVFYW8ZebxePCf//mfvv78wsJCvPTSS4NyiuF8jiSnGM4nADzwwAN4/PHHUVhYiB07duDXv/71oJxiOJ8jySmW8zkadIs+IYRIHN0QRAghEkeFnBBCJI4KOSGESBwVckIIkTgq5IQQInHiHlNDyBA+/fRTbNmyBW63GzzPY9myZbjvvvsuuX9hYSEefvhhzJ8//5L75ObmYvLkyWAYBh6PB1qtFk8//TRyc3Mv2nfZsmV4//33A/J/ISQQqJATSWlra8Mf/vAH/OMf/0BcXBxsNhsKCwuRlZXlu/t2rC4szlu3bsX69etRXFw87H6EiAF1rRBJMZvNcLlcsNvtALx35m3cuBETJ07EJ598gpUrV2Lp0qW4/vrrcfjw4Yuev2XLFtx2221YunQpNm3adMmpFubPn4/KykoA51v0S5YswalTp3yt9O7ubjz00EO44YYbsGzZMt+kbyUlJbjjjjtw66234uGHH4bZbA7GqSDEhwo5kZTJkydj0aJFuPbaa3HHHXfg2WefBcdxyMzMxLZt2/Dqq6/igw8+wH333YctW7YMem5JSQnKy8vx7rvvYseOHWhra8MHH3xw0TF4nsfHH3+M2bNn+x7Lzc3FZ5995puFEAD++Mc/wmg04pNPPsGmTZvw4osvoqurC88//zxef/117NixA1dddRWee+654J0QQkBdK0SCnn76afzyl7/E7t27sXv3bqxcuRLPPfccXnnlFXz11Veoq6vDgQMHLppDY9++fTh27Bhuv/12AN6FTdLS0nzbB6bddTqdyM7OxoYNG3zbZs6ceVGOgwcP+op0bm4uiouL8fXXX6O1tRV33303AO/EUDExMYE9AYR8DxVyIim7du1CX18fbrzxRixfvhzLly/H9u3b8dZbb+GFF17A0qVLMXfuXOTm5uKtt94a9FyPx4N77rkHP/vZzwAAvb29kMlkvu3D9X2r1eqLHpPL5YMmT6upqYHH40F+fj5effVVAIDD4Rg04x8hwUBdK0RS1Go1nn/+eTQ1NQHwdoOcOnUKSqUSDMPgwQcfxPz58/HFF19ctITXlVdeiffffx82mw1utxsPPfQQPvvsszFnmTNnDj7++GMA3iJ+//33Y+bMmSgrK0NdXR0A4E9/+hM2bdo05mMQMhLUIieScuWVV+Lhhx/Ggw8+CJfLBQAoKCjAK6+8gscffxw33HADGIbBVVddhdLS0kHPveaaa1BRUYGVK1fC4/GgoKAAt91225izPProo3jiiSewdOlSyOVybNq0CUlJSSgqKsKvfvUrcByH5ORkPPvss5f1fybEH5r9kBBCJI66VgghROKokBNCiMRRISeEEImjQk4IIRJHhZwQQiSOCjkhhEgcFXJCCJG4/w8TZNF2IzSejQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(np.log(house[\"SalePrice\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It appears that the target, SalePrice, is very skewed and a transformation like a logarithm would make it more normally distributed. Machine Learning models tend to work much better with normally distributed targets, rather than greatly skewed targets. By transforming the prices, we can boost model performance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "house[\"TransformedPrice\"] = np.log(house[\"SalePrice\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['MSZoning', 'Street', 'Alley', 'LotShape', 'LandContour', 'Utilities', 'LotConfig', 'LandSlope', 'Neighborhood', 'Condition1', 'Condition2', 'BldgType', 'HouseStyle', 'RoofStyle', 'RoofMatl', 'Exterior1st', 'Exterior2nd', 'MasVnrType', 'ExterQual', 'ExterCond', 'Foundation', 'BsmtQual', 'BsmtCond', 'BsmtExposure', 'BsmtFinType1', 'BsmtFinType2', 'Heating', 'HeatingQC', 'CentralAir', 'Electrical', 'KitchenQual', 'Functional', 'FireplaceQu', 'GarageType', 'GarageFinish', 'GarageQual', 'GarageCond', 'PavedDrive', 'PoolQC', 'Fence', 'MiscFeature', 'SaleType', 'SaleCondition']\n"
     ]
    }
   ],
   "source": [
    "print(categorical_values_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in categorical_values_train:\n",
    "    feature_set = set(house[i])\n",
    "    for j in feature_set:\n",
    "        feature_list = list(feature_set)\n",
    "        house.loc[house[i] == j, i] = feature_list.index(j)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "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>Id</th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>MSZoning</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>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",
       "      <th>TransformedPrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>60</td>\n",
       "      <td>1</td>\n",
       "      <td>8450</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>208500</td>\n",
       "      <td>12.247694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>9600</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>181500</td>\n",
       "      <td>12.109011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>60</td>\n",
       "      <td>1</td>\n",
       "      <td>11250</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>223500</td>\n",
       "      <td>12.317167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>9550</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>140000</td>\n",
       "      <td>11.849398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>60</td>\n",
       "      <td>1</td>\n",
       "      <td>14260</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>250000</td>\n",
       "      <td>12.429216</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 81 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id  MSSubClass  MSZoning  LotArea  Street  Alley  LotShape  LandContour  \\\n",
       "0   1          60         1     8450       0      1         0            2   \n",
       "1   2          20         1     9600       0      1         0            2   \n",
       "2   3          60         1    11250       0      1         2            2   \n",
       "3   4          70         1     9550       0      1         2            2   \n",
       "4   5          60         1    14260       0      1         2            2   \n",
       "\n",
       "   Utilities  LotConfig        ...         PoolQC  Fence  MiscFeature  \\\n",
       "0          0          1        ...              3      4            4   \n",
       "1          0          0        ...              3      4            4   \n",
       "2          0          1        ...              3      4            4   \n",
       "3          0          3        ...              3      4            4   \n",
       "4          0          0        ...              3      4            4   \n",
       "\n",
       "   MiscVal  MoSold  YrSold  SaleType  SaleCondition  SalePrice  \\\n",
       "0        0       2    2008         4              4     208500   \n",
       "1        0       5    2007         4              4     181500   \n",
       "2        0       9    2008         4              4     223500   \n",
       "3        0       2    2006         4              3     140000   \n",
       "4        0      12    2008         4              4     250000   \n",
       "\n",
       "   TransformedPrice  \n",
       "0         12.247694  \n",
       "1         12.109011  \n",
       "2         12.317167  \n",
       "3         11.849398  \n",
       "4         12.429216  \n",
       "\n",
       "[5 rows x 81 columns]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Great! It seems like we have changed all the categorical strings into a representative number. We are ready to build our models!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model Building\n",
    "\n",
    "Now that we've preprocessed and explored our data, we have a much better understanding of the type of data that we're dealing with. Now, we can began to build and test different models for regression to predict the Sale Price of each house."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = house.drop([\"Id\", \"SalePrice\", \"TransformedPrice\"], axis=1).values\n",
    "y = house[\"TransformedPrice\"].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "# split into train and test\n",
    "from sklearn.cross_validation import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, \n",
    "                                                    train_size=0.7,\n",
    "                                                    test_size = 0.3, random_state=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "# list of alphas to tune\n",
    "params = {'alpha': [0.0001, 0.001, 0.01, 0.05, 0.1, \n",
    " 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 2.0, 3.0, \n",
    " 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 20, 50, 100, 500, 1000 ]}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing the relevant libraries\n",
    "from sklearn.linear_model import Ridge\n",
    "from sklearn.linear_model import Lasso\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn import linear_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 28 candidates, totalling 140 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done 140 out of 140 | elapsed:    0.8s finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, error_score='raise',\n",
       "       estimator=Lasso(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=1000,\n",
       "   normalize=False, positive=False, precompute=False, random_state=None,\n",
       "   selection='cyclic', tol=0.0001, warm_start=False),\n",
       "       fit_params=None, iid=True, n_jobs=1,\n",
       "       param_grid={'alpha': [0.0001, 0.001, 0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 20, 50, 100, 500, 1000]},\n",
       "       pre_dispatch='2*n_jobs', refit=True, return_train_score=True,\n",
       "       scoring='neg_mean_absolute_error', verbose=1)"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Applying Lasso\n",
    "lasso = Lasso()\n",
    "\n",
    "# cross validation\n",
    "folds = 5\n",
    "model_cv = GridSearchCV(estimator = lasso, \n",
    "                        param_grid = params, \n",
    "                        scoring= 'neg_mean_absolute_error', \n",
    "                        cv = folds, \n",
    "                        return_train_score=True,\n",
    "                        verbose = 1)            \n",
    "\n",
    "model_cv.fit(X_train, y_train) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "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>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_alpha</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>...</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>0.013034</td>\n",
       "      <td>0.004215</td>\n",
       "      <td>0.000391</td>\n",
       "      <td>0.000480</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>{'alpha': 0.0001}</td>\n",
       "      <td>-0.087063</td>\n",
       "      <td>-0.101463</td>\n",
       "      <td>-0.098192</td>\n",
       "      <td>-0.100204</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.096399</td>\n",
       "      <td>0.005146</td>\n",
       "      <td>2</td>\n",
       "      <td>-0.085941</td>\n",
       "      <td>-0.082317</td>\n",
       "      <td>-0.076412</td>\n",
       "      <td>-0.084661</td>\n",
       "      <td>-0.083758</td>\n",
       "      <td>-0.082618</td>\n",
       "      <td>0.003320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.008790</td>\n",
       "      <td>0.002314</td>\n",
       "      <td>0.000411</td>\n",
       "      <td>0.000481</td>\n",
       "      <td>0.001</td>\n",
       "      <td>{'alpha': 0.001}</td>\n",
       "      <td>-0.089151</td>\n",
       "      <td>-0.101236</td>\n",
       "      <td>-0.098109</td>\n",
       "      <td>-0.098744</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.095992</td>\n",
       "      <td>0.004404</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.087929</td>\n",
       "      <td>-0.083904</td>\n",
       "      <td>-0.077796</td>\n",
       "      <td>-0.084894</td>\n",
       "      <td>-0.085827</td>\n",
       "      <td>-0.084070</td>\n",
       "      <td>0.003407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.002578</td>\n",
       "      <td>0.000477</td>\n",
       "      <td>0.000210</td>\n",
       "      <td>0.000419</td>\n",
       "      <td>0.01</td>\n",
       "      <td>{'alpha': 0.01}</td>\n",
       "      <td>-0.096453</td>\n",
       "      <td>-0.109212</td>\n",
       "      <td>-0.105384</td>\n",
       "      <td>-0.097365</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.100113</td>\n",
       "      <td>0.006237</td>\n",
       "      <td>3</td>\n",
       "      <td>-0.095708</td>\n",
       "      <td>-0.093800</td>\n",
       "      <td>-0.089775</td>\n",
       "      <td>-0.088066</td>\n",
       "      <td>-0.095086</td>\n",
       "      <td>-0.092487</td>\n",
       "      <td>0.003025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.015433</td>\n",
       "      <td>0.002258</td>\n",
       "      <td>0.000501</td>\n",
       "      <td>0.000425</td>\n",
       "      <td>0.05</td>\n",
       "      <td>{'alpha': 0.05}</td>\n",
       "      <td>-0.100101</td>\n",
       "      <td>-0.116061</td>\n",
       "      <td>-0.118861</td>\n",
       "      <td>-0.118641</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.110886</td>\n",
       "      <td>0.008584</td>\n",
       "      <td>4</td>\n",
       "      <td>-0.107722</td>\n",
       "      <td>-0.105273</td>\n",
       "      <td>-0.101214</td>\n",
       "      <td>-0.102656</td>\n",
       "      <td>-0.106824</td>\n",
       "      <td>-0.104738</td>\n",
       "      <td>0.002461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.014744</td>\n",
       "      <td>0.006104</td>\n",
       "      <td>0.000399</td>\n",
       "      <td>0.000488</td>\n",
       "      <td>0.1</td>\n",
       "      <td>{'alpha': 0.1}</td>\n",
       "      <td>-0.103501</td>\n",
       "      <td>-0.123907</td>\n",
       "      <td>-0.126354</td>\n",
       "      <td>-0.124384</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.117232</td>\n",
       "      <td>0.009505</td>\n",
       "      <td>8</td>\n",
       "      <td>-0.116098</td>\n",
       "      <td>-0.111782</td>\n",
       "      <td>-0.107699</td>\n",
       "      <td>-0.107105</td>\n",
       "      <td>-0.114717</td>\n",
       "      <td>-0.111480</td>\n",
       "      <td>0.003615</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   mean_fit_time  std_fit_time  mean_score_time  std_score_time param_alpha  \\\n",
       "0       0.013034      0.004215         0.000391        0.000480      0.0001   \n",
       "1       0.008790      0.002314         0.000411        0.000481       0.001   \n",
       "2       0.002578      0.000477         0.000210        0.000419        0.01   \n",
       "3       0.015433      0.002258         0.000501        0.000425        0.05   \n",
       "4       0.014744      0.006104         0.000399        0.000488         0.1   \n",
       "\n",
       "              params  split0_test_score  split1_test_score  split2_test_score  \\\n",
       "0  {'alpha': 0.0001}          -0.087063          -0.101463          -0.098192   \n",
       "1   {'alpha': 0.001}          -0.089151          -0.101236          -0.098109   \n",
       "2    {'alpha': 0.01}          -0.096453          -0.109212          -0.105384   \n",
       "3    {'alpha': 0.05}          -0.100101          -0.116061          -0.118861   \n",
       "4     {'alpha': 0.1}          -0.103501          -0.123907          -0.126354   \n",
       "\n",
       "   split3_test_score       ...         mean_test_score  std_test_score  \\\n",
       "0          -0.100204       ...               -0.096399        0.005146   \n",
       "1          -0.098744       ...               -0.095992        0.004404   \n",
       "2          -0.097365       ...               -0.100113        0.006237   \n",
       "3          -0.118641       ...               -0.110886        0.008584   \n",
       "4          -0.124384       ...               -0.117232        0.009505   \n",
       "\n",
       "   rank_test_score  split0_train_score  split1_train_score  \\\n",
       "0                2           -0.085941           -0.082317   \n",
       "1                1           -0.087929           -0.083904   \n",
       "2                3           -0.095708           -0.093800   \n",
       "3                4           -0.107722           -0.105273   \n",
       "4                8           -0.116098           -0.111782   \n",
       "\n",
       "   split2_train_score  split3_train_score  split4_train_score  \\\n",
       "0           -0.076412           -0.084661           -0.083758   \n",
       "1           -0.077796           -0.084894           -0.085827   \n",
       "2           -0.089775           -0.088066           -0.095086   \n",
       "3           -0.101214           -0.102656           -0.106824   \n",
       "4           -0.107699           -0.107105           -0.114717   \n",
       "\n",
       "   mean_train_score  std_train_score  \n",
       "0         -0.082618         0.003320  \n",
       "1         -0.084070         0.003407  \n",
       "2         -0.092487         0.003025  \n",
       "3         -0.104738         0.002461  \n",
       "4         -0.111480         0.003615  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_results = pd.DataFrame(model_cv.cv_results_)\n",
    "cv_results.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting mean test and train scoes with alpha \n",
    "cv_results['param_alpha'] = cv_results['param_alpha'].astype('float32')\n",
    "\n",
    "# plotting\n",
    "plt.plot(cv_results['param_alpha'], cv_results['mean_train_score'])\n",
    "plt.plot(cv_results['param_alpha'], cv_results['mean_test_score'])\n",
    "plt.xlabel('alpha')\n",
    "plt.ylabel('Negative Mean Absolute Error')\n",
    "\n",
    "plt.title(\"Negative Mean Absolute Error and alpha\")\n",
    "plt.legend(['train score', 'test score'], loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Lasso(alpha=50, copy_X=True, fit_intercept=True, max_iter=1000,\n",
       "   normalize=False, positive=False, precompute=False, random_state=None,\n",
       "   selection='cyclic', tol=0.0001, warm_start=False)"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alpha = 50\n",
    "\n",
    "lasso = Lasso(alpha=alpha)\n",
    "        \n",
    "lasso.fit(X_train, y_train) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.00000000e+00,  0.00000000e+00,  4.02426915e-06, -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, -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, -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",
       "        1.41724335e-04, -0.00000000e+00, -0.00000000e+00, -0.00000000e+00,\n",
       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00, -0.00000000e+00,\n",
       "        2.68173575e-04,  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, -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,  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])"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lasso.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 28 candidates, totalling 140 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done 140 out of 140 | elapsed:    0.9s finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, error_score='raise',\n",
       "       estimator=Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None,\n",
       "   normalize=False, random_state=None, solver='auto', tol=0.001),\n",
       "       fit_params=None, iid=True, n_jobs=1,\n",
       "       param_grid={'alpha': [0.0001, 0.001, 0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 20, 50, 100, 500, 1000]},\n",
       "       pre_dispatch='2*n_jobs', refit=True, return_train_score=True,\n",
       "       scoring='neg_mean_absolute_error', verbose=1)"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Applying Ridge\n",
    "ridge = Ridge()\n",
    "\n",
    "# cross validation\n",
    "folds = 5\n",
    "model_cv = GridSearchCV(estimator = ridge, \n",
    "                        param_grid = params, \n",
    "                        scoring= 'neg_mean_absolute_error', \n",
    "                        cv = folds, \n",
    "                        return_train_score=True,\n",
    "                        verbose = 1)            \n",
    "model_cv.fit(X_train, y_train) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "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>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_alpha</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>...</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>0.119847</td>\n",
       "      <td>0.226333</td>\n",
       "      <td>0.001607</td>\n",
       "      <td>0.001348</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>{'alpha': 0.0001}</td>\n",
       "      <td>-0.087071</td>\n",
       "      <td>-0.101646</td>\n",
       "      <td>-0.098407</td>\n",
       "      <td>-0.103790</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.097286</td>\n",
       "      <td>0.005835</td>\n",
       "      <td>9</td>\n",
       "      <td>-0.085769</td>\n",
       "      <td>-0.082144</td>\n",
       "      <td>-0.076335</td>\n",
       "      <td>-0.084570</td>\n",
       "      <td>-0.083747</td>\n",
       "      <td>-0.082513</td>\n",
       "      <td>0.003306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.003199</td>\n",
       "      <td>0.000731</td>\n",
       "      <td>0.000586</td>\n",
       "      <td>0.000479</td>\n",
       "      <td>0.001</td>\n",
       "      <td>{'alpha': 0.001}</td>\n",
       "      <td>-0.087075</td>\n",
       "      <td>-0.101642</td>\n",
       "      <td>-0.098408</td>\n",
       "      <td>-0.103672</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.097262</td>\n",
       "      <td>0.005807</td>\n",
       "      <td>8</td>\n",
       "      <td>-0.085772</td>\n",
       "      <td>-0.082147</td>\n",
       "      <td>-0.076335</td>\n",
       "      <td>-0.084573</td>\n",
       "      <td>-0.083749</td>\n",
       "      <td>-0.082515</td>\n",
       "      <td>0.003307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.002770</td>\n",
       "      <td>0.000389</td>\n",
       "      <td>0.000611</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>0.01</td>\n",
       "      <td>{'alpha': 0.01}</td>\n",
       "      <td>-0.087114</td>\n",
       "      <td>-0.101606</td>\n",
       "      <td>-0.098413</td>\n",
       "      <td>-0.102847</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.097100</td>\n",
       "      <td>0.005612</td>\n",
       "      <td>6</td>\n",
       "      <td>-0.085799</td>\n",
       "      <td>-0.082178</td>\n",
       "      <td>-0.076344</td>\n",
       "      <td>-0.084593</td>\n",
       "      <td>-0.083770</td>\n",
       "      <td>-0.082537</td>\n",
       "      <td>0.003313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.002645</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>0.000199</td>\n",
       "      <td>0.000398</td>\n",
       "      <td>0.05</td>\n",
       "      <td>{'alpha': 0.05}</td>\n",
       "      <td>-0.087279</td>\n",
       "      <td>-0.101460</td>\n",
       "      <td>-0.098444</td>\n",
       "      <td>-0.101629</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.096869</td>\n",
       "      <td>0.005294</td>\n",
       "      <td>3</td>\n",
       "      <td>-0.085918</td>\n",
       "      <td>-0.082316</td>\n",
       "      <td>-0.076388</td>\n",
       "      <td>-0.084628</td>\n",
       "      <td>-0.083864</td>\n",
       "      <td>-0.082623</td>\n",
       "      <td>0.003328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.002598</td>\n",
       "      <td>0.000462</td>\n",
       "      <td>0.000384</td>\n",
       "      <td>0.000451</td>\n",
       "      <td>0.1</td>\n",
       "      <td>{'alpha': 0.1}</td>\n",
       "      <td>-0.087496</td>\n",
       "      <td>-0.101295</td>\n",
       "      <td>-0.098484</td>\n",
       "      <td>-0.101213</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.096812</td>\n",
       "      <td>0.005114</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.086064</td>\n",
       "      <td>-0.082499</td>\n",
       "      <td>-0.076455</td>\n",
       "      <td>-0.084646</td>\n",
       "      <td>-0.083988</td>\n",
       "      <td>-0.082730</td>\n",
       "      <td>0.003340</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   mean_fit_time  std_fit_time  mean_score_time  std_score_time param_alpha  \\\n",
       "0       0.119847      0.226333         0.001607        0.001348      0.0001   \n",
       "1       0.003199      0.000731         0.000586        0.000479       0.001   \n",
       "2       0.002770      0.000389         0.000611        0.000500        0.01   \n",
       "3       0.002645      0.000502         0.000199        0.000398        0.05   \n",
       "4       0.002598      0.000462         0.000384        0.000451         0.1   \n",
       "\n",
       "              params  split0_test_score  split1_test_score  split2_test_score  \\\n",
       "0  {'alpha': 0.0001}          -0.087071          -0.101646          -0.098407   \n",
       "1   {'alpha': 0.001}          -0.087075          -0.101642          -0.098408   \n",
       "2    {'alpha': 0.01}          -0.087114          -0.101606          -0.098413   \n",
       "3    {'alpha': 0.05}          -0.087279          -0.101460          -0.098444   \n",
       "4     {'alpha': 0.1}          -0.087496          -0.101295          -0.098484   \n",
       "\n",
       "   split3_test_score       ...         mean_test_score  std_test_score  \\\n",
       "0          -0.103790       ...               -0.097286        0.005835   \n",
       "1          -0.103672       ...               -0.097262        0.005807   \n",
       "2          -0.102847       ...               -0.097100        0.005612   \n",
       "3          -0.101629       ...               -0.096869        0.005294   \n",
       "4          -0.101213       ...               -0.096812        0.005114   \n",
       "\n",
       "   rank_test_score  split0_train_score  split1_train_score  \\\n",
       "0                9           -0.085769           -0.082144   \n",
       "1                8           -0.085772           -0.082147   \n",
       "2                6           -0.085799           -0.082178   \n",
       "3                3           -0.085918           -0.082316   \n",
       "4                1           -0.086064           -0.082499   \n",
       "\n",
       "   split2_train_score  split3_train_score  split4_train_score  \\\n",
       "0           -0.076335           -0.084570           -0.083747   \n",
       "1           -0.076335           -0.084573           -0.083749   \n",
       "2           -0.076344           -0.084593           -0.083770   \n",
       "3           -0.076388           -0.084628           -0.083864   \n",
       "4           -0.076455           -0.084646           -0.083988   \n",
       "\n",
       "   mean_train_score  std_train_score  \n",
       "0         -0.082513         0.003306  \n",
       "1         -0.082515         0.003307  \n",
       "2         -0.082537         0.003313  \n",
       "3         -0.082623         0.003328  \n",
       "4         -0.082730         0.003340  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_results = pd.DataFrame(model_cv.cv_results_)\n",
    "cv_results = cv_results[cv_results['param_alpha']<=200]\n",
    "cv_results.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting mean test and train scoes with alpha \n",
    "cv_results['param_alpha'] = cv_results['param_alpha'].astype('int32')\n",
    "\n",
    "# plotting\n",
    "plt.plot(cv_results['param_alpha'], cv_results['mean_train_score'])\n",
    "plt.plot(cv_results['param_alpha'], cv_results['mean_test_score'])\n",
    "plt.xlabel('alpha')\n",
    "plt.ylabel('Negative Mean Absolute Error')\n",
    "plt.title(\"Negative Mean Absolute Error and alpha\")\n",
    "plt.legend(['train score', 'test score'], loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-5.20092641e-04,  1.60948169e-02,  1.59785620e-06, -6.05258033e-02,\n",
       "       -3.25998698e-02,  1.06892333e-02,  2.25455423e-02, -1.03038498e-02,\n",
       "        5.85721927e-03,  3.39343696e-02, -3.70348250e-04, -1.42030692e-02,\n",
       "       -7.09301443e-02,  2.43593678e-03,  7.36355103e-03,  7.37037488e-02,\n",
       "        4.66546673e-02,  1.97019403e-03,  9.31805522e-04, -2.14608844e-02,\n",
       "       -3.53496500e-02, -1.30036171e-03,  2.22674053e-03,  3.68606196e-03,\n",
       "        2.03130658e-05,  1.45471552e-02, -3.74901462e-03, -1.53689334e-02,\n",
       "       -1.61232552e-03, -8.47033677e-03,  7.54356571e-03,  8.11722737e-03,\n",
       "        3.28033412e-05, -4.90819903e-03,  2.37725324e-05,  5.74768203e-06,\n",
       "        6.23235566e-05,  3.56064489e-03,  2.10453386e-03, -4.89829856e-02,\n",
       "       -1.04609041e-03,  3.52224765e-05,  7.06198150e-05,  6.45626153e-05,\n",
       "        1.70404904e-04,  5.71217176e-02,  1.69263908e-02,  3.86888190e-02,\n",
       "        1.78673724e-02, -3.54664408e-04, -4.28230192e-02, -2.07035594e-02,\n",
       "        1.10260493e-02, -2.70005501e-02,  3.56135969e-02, -6.31391878e-04,\n",
       "       -2.26746524e-03, -3.67034269e-04, -8.26265970e-03,  5.10314722e-02,\n",
       "        7.75813518e-05, -1.06480368e-03,  3.06341203e-03, -3.09276237e-02,\n",
       "        8.22069446e-05, -3.15990168e-06,  1.42405332e-04,  1.78758559e-04,\n",
       "        2.15978776e-04, -2.32064763e-03, -1.92060412e-01, -8.74107595e-04,\n",
       "        1.39992303e-02,  3.70530178e-06, -1.47397739e-03, -7.62287193e-03,\n",
       "       -1.47185594e-02,  8.22634736e-03])"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alpha = 10\n",
    "ridge = Ridge(alpha=alpha)\n",
    "\n",
    "ridge.fit(X_train, y_train)\n",
    "ridge.coef_"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}