Auto Price Prediction - Regression.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f95ba38a",
   "metadata": {},
   "source": [
    "# Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "caaf0d9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pingouin as pg\n",
    "import missingno as msno\n",
    "import matplotlib.pyplot as plt\n",
    "sns.set()\n",
    "\n",
    "import scipy.stats as stats\n",
    "\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.stats.api as sms\n",
    "import statsmodels.formula.api as smf\n",
    "from statsmodels.formula.api import ols\n",
    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
    "\n",
    "from sklearn import metrics as mt\n",
    "from sklearn import model_selection\n",
    "from sklearn.neighbors import LocalOutlierFactor\n",
    "from sklearn import preprocessing as pr\n",
    "from sklearn.metrics import r2_score\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error\n",
    "from sklearn.linear_model import LinearRegression, Ridge, RidgeCV, Lasso, LassoCV, ElasticNet, ElasticNetCV\n",
    "from sklearn.model_selection import cross_val_score, train_test_split, KFold\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "from sklearn.preprocessing import StandardScaler,OneHotEncoder\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.compose import ColumnTransformer\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\") # Don't display the warnings in the notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e563021",
   "metadata": {},
   "source": [
    "# Reading data and initial checks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "67cf860a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Price</th>\n",
       "      <th>Manufacturer</th>\n",
       "      <th>Year</th>\n",
       "      <th>Category</th>\n",
       "      <th>Leather</th>\n",
       "      <th>Fuel</th>\n",
       "      <th>Engine</th>\n",
       "      <th>Cylinders</th>\n",
       "      <th>Transmission</th>\n",
       "      <th>Drive</th>\n",
       "      <th>Doors</th>\n",
       "      <th>Color</th>\n",
       "      <th>Airbags</th>\n",
       "      <th>Km</th>\n",
       "      <th>Turbo</th>\n",
       "      <th>Origin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11251</th>\n",
       "      <td>45804222</td>\n",
       "      <td>25299</td>\n",
       "      <td>HYUNDAI</td>\n",
       "      <td>2010</td>\n",
       "      <td>SUV</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Front</td>\n",
       "      <td>4</td>\n",
       "      <td>Silver</td>\n",
       "      <td>4</td>\n",
       "      <td>111200</td>\n",
       "      <td>0</td>\n",
       "      <td>Korea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6567</th>\n",
       "      <td>45120058</td>\n",
       "      <td>38400</td>\n",
       "      <td>BMW</td>\n",
       "      <td>2012</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Tiptronic</td>\n",
       "      <td>Rear</td>\n",
       "      <td>4</td>\n",
       "      <td>Black</td>\n",
       "      <td>12</td>\n",
       "      <td>158400</td>\n",
       "      <td>1</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9125</th>\n",
       "      <td>45808588</td>\n",
       "      <td>3763</td>\n",
       "      <td>KIA</td>\n",
       "      <td>2015</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>2.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Front</td>\n",
       "      <td>4</td>\n",
       "      <td>Silver</td>\n",
       "      <td>12</td>\n",
       "      <td>170040</td>\n",
       "      <td>0</td>\n",
       "      <td>Korea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2030</th>\n",
       "      <td>45794207</td>\n",
       "      <td>19757</td>\n",
       "      <td>FORD</td>\n",
       "      <td>2006</td>\n",
       "      <td>Minivan</td>\n",
       "      <td>No</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>2.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Rear</td>\n",
       "      <td>2</td>\n",
       "      <td>White</td>\n",
       "      <td>4</td>\n",
       "      <td>286000</td>\n",
       "      <td>1</td>\n",
       "      <td>US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5655</th>\n",
       "      <td>44092830</td>\n",
       "      <td>18503</td>\n",
       "      <td>VOLKSWAGEN</td>\n",
       "      <td>2012</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Tiptronic</td>\n",
       "      <td>Front</td>\n",
       "      <td>4</td>\n",
       "      <td>Silver</td>\n",
       "      <td>8</td>\n",
       "      <td>180000</td>\n",
       "      <td>0</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7807</th>\n",
       "      <td>44657994</td>\n",
       "      <td>9095</td>\n",
       "      <td>OPEL</td>\n",
       "      <td>2007</td>\n",
       "      <td>Hatchback</td>\n",
       "      <td>No</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>1.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Front</td>\n",
       "      <td>4</td>\n",
       "      <td>Silver</td>\n",
       "      <td>6</td>\n",
       "      <td>190000</td>\n",
       "      <td>0</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>45776513</td>\n",
       "      <td>7840</td>\n",
       "      <td>MERCEDES-BENZ</td>\n",
       "      <td>2000</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>No</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Tiptronic</td>\n",
       "      <td>Rear</td>\n",
       "      <td>4</td>\n",
       "      <td>Blue</td>\n",
       "      <td>6</td>\n",
       "      <td>136000</td>\n",
       "      <td>0</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1874</th>\n",
       "      <td>45766501</td>\n",
       "      <td>21639</td>\n",
       "      <td>TOYOTA</td>\n",
       "      <td>2016</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>No</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>1.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Front</td>\n",
       "      <td>4</td>\n",
       "      <td>Grey</td>\n",
       "      <td>10</td>\n",
       "      <td>131000</td>\n",
       "      <td>0</td>\n",
       "      <td>Japan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12221</th>\n",
       "      <td>45759947</td>\n",
       "      <td>12544</td>\n",
       "      <td>MITSUBISHI</td>\n",
       "      <td>2000</td>\n",
       "      <td>Minivan</td>\n",
       "      <td>Yes</td>\n",
       "      <td>LPG</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>4x4</td>\n",
       "      <td>4</td>\n",
       "      <td>White</td>\n",
       "      <td>2</td>\n",
       "      <td>161000</td>\n",
       "      <td>0</td>\n",
       "      <td>Japan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11455</th>\n",
       "      <td>45768897</td>\n",
       "      <td>18817</td>\n",
       "      <td>AUDI</td>\n",
       "      <td>2014</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>4x4</td>\n",
       "      <td>4</td>\n",
       "      <td>Black</td>\n",
       "      <td>0</td>\n",
       "      <td>279722</td>\n",
       "      <td>0</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ID  Price   Manufacturer  Year   Category Leather    Fuel  \\\n",
       "11251  45804222  25299        HYUNDAI  2010        SUV     Yes  Diesel   \n",
       "6567   45120058  38400            BMW  2012      Sedan     Yes  Petrol   \n",
       "9125   45808588   3763            KIA  2015      Sedan     Yes  Petrol   \n",
       "2030   45794207  19757           FORD  2006    Minivan      No  Diesel   \n",
       "5655   44092830  18503     VOLKSWAGEN  2012      Sedan     Yes  Petrol   \n",
       "7807   44657994   9095           OPEL  2007  Hatchback      No  Petrol   \n",
       "408    45776513   7840  MERCEDES-BENZ  2000      Sedan      No  Petrol   \n",
       "1874   45766501  21639         TOYOTA  2016      Sedan      No  Petrol   \n",
       "12221  45759947  12544     MITSUBISHI  2000    Minivan     Yes     LPG   \n",
       "11455  45768897  18817           AUDI  2014      Sedan     Yes  Petrol   \n",
       "\n",
       "       Engine  Cylinders Transmission  Drive  Doors   Color  Airbags      Km  \\\n",
       "11251     2.0        4.0    Automatic  Front      4  Silver        4  111200   \n",
       "6567      2.0        4.0    Tiptronic   Rear      4   Black       12  158400   \n",
       "9125      2.4        4.0    Automatic  Front      4  Silver       12  170040   \n",
       "2030      2.4        4.0       Manual   Rear      2   White        4  286000   \n",
       "5655      2.5        4.0    Tiptronic  Front      4  Silver        8  180000   \n",
       "7807      1.6        4.0       Manual  Front      4  Silver        6  190000   \n",
       "408       2.0        4.0    Tiptronic   Rear      4    Blue        6  136000   \n",
       "1874      1.8        4.0    Automatic  Front      4    Grey       10  131000   \n",
       "12221     3.0        6.0    Automatic    4x4      4   White        2  161000   \n",
       "11455     2.0        4.0    Automatic    4x4      4   Black        0  279722   \n",
       "\n",
       "       Turbo   Origin  \n",
       "11251      0    Korea  \n",
       "6567       1  Germany  \n",
       "9125       0    Korea  \n",
       "2030       1       US  \n",
       "5655       0  Germany  \n",
       "7807       0  Germany  \n",
       "408        0  Germany  \n",
       "1874       0    Japan  \n",
       "12221      0    Japan  \n",
       "11455      0  Germany  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data0 = pd.read_csv(\"train.csv\")\n",
    "data0.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "eecbb4f9",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 12725 entries, 0 to 12724\n",
      "Data columns (total 17 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   ID            12725 non-null  int64  \n",
      " 1   Price         12725 non-null  int64  \n",
      " 2   Manufacturer  12725 non-null  object \n",
      " 3   Year          12725 non-null  int64  \n",
      " 4   Category      12725 non-null  object \n",
      " 5   Leather       12725 non-null  object \n",
      " 6   Fuel          12725 non-null  object \n",
      " 7   Engine        12725 non-null  float64\n",
      " 8   Cylinders     12725 non-null  float64\n",
      " 9   Transmission  12725 non-null  object \n",
      " 10  Drive         12725 non-null  object \n",
      " 11  Doors         12725 non-null  int64  \n",
      " 12  Color         12725 non-null  object \n",
      " 13  Airbags       12725 non-null  int64  \n",
      " 14  Km            12725 non-null  int64  \n",
      " 15  Turbo         12725 non-null  int64  \n",
      " 16  Origin        12725 non-null  object \n",
      "dtypes: float64(2), int64(7), object(8)\n",
      "memory usage: 1.7+ MB\n"
     ]
    }
   ],
   "source": [
    "data = data0.copy()\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4baf9c26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID              0\n",
       "Price           0\n",
       "Manufacturer    0\n",
       "Year            0\n",
       "Category        0\n",
       "Leather         0\n",
       "Fuel            0\n",
       "Engine          0\n",
       "Cylinders       0\n",
       "Transmission    0\n",
       "Drive           0\n",
       "Doors           0\n",
       "Color           0\n",
       "Airbags         0\n",
       "Km              0\n",
       "Turbo           0\n",
       "Origin          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6600ad2",
   "metadata": {},
   "source": [
    "As I don't have any missing data, firstly, I will check the data types and I will drop \"ID\" column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6fe3d107",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Price</th>\n",
       "      <th>Manufacturer</th>\n",
       "      <th>Year</th>\n",
       "      <th>Category</th>\n",
       "      <th>Leather</th>\n",
       "      <th>Fuel</th>\n",
       "      <th>Engine</th>\n",
       "      <th>Cylinders</th>\n",
       "      <th>Transmission</th>\n",
       "      <th>Drive</th>\n",
       "      <th>Doors</th>\n",
       "      <th>Color</th>\n",
       "      <th>Airbags</th>\n",
       "      <th>Km</th>\n",
       "      <th>Turbo</th>\n",
       "      <th>Origin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11439</th>\n",
       "      <td>40769</td>\n",
       "      <td>HONDA</td>\n",
       "      <td>2015</td>\n",
       "      <td>SUV</td>\n",
       "      <td>No</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>2.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Variator</td>\n",
       "      <td>4x4</td>\n",
       "      <td>4</td>\n",
       "      <td>White</td>\n",
       "      <td>8</td>\n",
       "      <td>39700</td>\n",
       "      <td>0</td>\n",
       "      <td>Japan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5338</th>\n",
       "      <td>15994</td>\n",
       "      <td>TOYOTA</td>\n",
       "      <td>2008</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Hybrid</td>\n",
       "      <td>2.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Tiptronic</td>\n",
       "      <td>Front</td>\n",
       "      <td>4</td>\n",
       "      <td>Silver</td>\n",
       "      <td>10</td>\n",
       "      <td>221000</td>\n",
       "      <td>0</td>\n",
       "      <td>Japan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4699</th>\n",
       "      <td>61154</td>\n",
       "      <td>LEXUS</td>\n",
       "      <td>2015</td>\n",
       "      <td>SUV</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>4.6</td>\n",
       "      <td>8.0</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>4x4</td>\n",
       "      <td>4</td>\n",
       "      <td>Silver</td>\n",
       "      <td>0</td>\n",
       "      <td>273493</td>\n",
       "      <td>0</td>\n",
       "      <td>Japan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4329</th>\n",
       "      <td>10976</td>\n",
       "      <td>NISSAN</td>\n",
       "      <td>2014</td>\n",
       "      <td>Hatchback</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>1.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Front</td>\n",
       "      <td>4</td>\n",
       "      <td>Sky blue</td>\n",
       "      <td>8</td>\n",
       "      <td>91000</td>\n",
       "      <td>0</td>\n",
       "      <td>Japan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>44247</td>\n",
       "      <td>HYUNDAI</td>\n",
       "      <td>2015</td>\n",
       "      <td>SUV</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Front</td>\n",
       "      <td>4</td>\n",
       "      <td>White</td>\n",
       "      <td>4</td>\n",
       "      <td>153958</td>\n",
       "      <td>0</td>\n",
       "      <td>Korea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7122</th>\n",
       "      <td>10036</td>\n",
       "      <td>HYUNDAI</td>\n",
       "      <td>2014</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>Yes</td>\n",
       "      <td>LPG</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Front</td>\n",
       "      <td>4</td>\n",
       "      <td>Silver</td>\n",
       "      <td>4</td>\n",
       "      <td>486631</td>\n",
       "      <td>0</td>\n",
       "      <td>Korea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4996</th>\n",
       "      <td>18817</td>\n",
       "      <td>FORD</td>\n",
       "      <td>2007</td>\n",
       "      <td>SUV</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Hybrid</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Variator</td>\n",
       "      <td>4x4</td>\n",
       "      <td>4</td>\n",
       "      <td>Grey</td>\n",
       "      <td>12</td>\n",
       "      <td>180000</td>\n",
       "      <td>0</td>\n",
       "      <td>US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7062</th>\n",
       "      <td>30151</td>\n",
       "      <td>HYUNDAI</td>\n",
       "      <td>2015</td>\n",
       "      <td>SUV</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Front</td>\n",
       "      <td>4</td>\n",
       "      <td>Grey</td>\n",
       "      <td>4</td>\n",
       "      <td>143278</td>\n",
       "      <td>0</td>\n",
       "      <td>Korea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8488</th>\n",
       "      <td>18817</td>\n",
       "      <td>MERCEDES-BENZ</td>\n",
       "      <td>2007</td>\n",
       "      <td>Minivan</td>\n",
       "      <td>No</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>2.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Rear</td>\n",
       "      <td>2</td>\n",
       "      <td>White</td>\n",
       "      <td>2</td>\n",
       "      <td>22004</td>\n",
       "      <td>1</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11438</th>\n",
       "      <td>59586</td>\n",
       "      <td>TOYOTA</td>\n",
       "      <td>2018</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Hybrid</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Variator</td>\n",
       "      <td>Front</td>\n",
       "      <td>4</td>\n",
       "      <td>Black</td>\n",
       "      <td>8</td>\n",
       "      <td>18200</td>\n",
       "      <td>0</td>\n",
       "      <td>Japan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Price   Manufacturer  Year   Category Leather    Fuel  Engine  \\\n",
       "11439  40769          HONDA  2015        SUV      No  Petrol     2.4   \n",
       "5338   15994         TOYOTA  2008      Sedan     Yes  Hybrid     2.4   \n",
       "4699   61154          LEXUS  2015        SUV     Yes  Petrol     4.6   \n",
       "4329   10976         NISSAN  2014  Hatchback     Yes  Petrol     1.6   \n",
       "390    44247        HYUNDAI  2015        SUV     Yes  Diesel     2.0   \n",
       "7122   10036        HYUNDAI  2014      Sedan     Yes     LPG     2.0   \n",
       "4996   18817           FORD  2007        SUV     Yes  Hybrid     2.3   \n",
       "7062   30151        HYUNDAI  2015        SUV     Yes  Diesel     2.0   \n",
       "8488   18817  MERCEDES-BENZ  2007    Minivan      No  Diesel     2.2   \n",
       "11438  59586         TOYOTA  2018      Sedan     Yes  Hybrid     2.5   \n",
       "\n",
       "       Cylinders Transmission  Drive  Doors     Color  Airbags      Km  Turbo  \\\n",
       "11439        4.0     Variator    4x4      4     White        8   39700      0   \n",
       "5338         4.0    Tiptronic  Front      4    Silver       10  221000      0   \n",
       "4699         8.0    Automatic    4x4      4    Silver        0  273493      0   \n",
       "4329         4.0    Automatic  Front      4  Sky blue        8   91000      0   \n",
       "390          4.0    Automatic  Front      4     White        4  153958      0   \n",
       "7122         4.0    Automatic  Front      4    Silver        4  486631      0   \n",
       "4996         4.0     Variator    4x4      4      Grey       12  180000      0   \n",
       "7062         4.0    Automatic  Front      4      Grey        4  143278      0   \n",
       "8488         4.0       Manual   Rear      2     White        2   22004      1   \n",
       "11438        4.0     Variator  Front      4     Black        8   18200      0   \n",
       "\n",
       "        Origin  \n",
       "11439    Japan  \n",
       "5338     Japan  \n",
       "4699     Japan  \n",
       "4329     Japan  \n",
       "390      Korea  \n",
       "7122     Korea  \n",
       "4996        US  \n",
       "7062     Korea  \n",
       "8488   Germany  \n",
       "11438    Japan  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(\"ID\",axis=1,inplace=True)\n",
    "data.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ec2d1092",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Price', 'Manufacturer', 'Year', 'Category', 'Leather', 'Fuel',\n",
       "       'Engine', 'Cylinders', 'Transmission', 'Drive', 'Doors', 'Color',\n",
       "       'Airbags', 'Km', 'Turbo', 'Origin'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ee6c4aa3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Manufacturer\n",
      "HYUNDAI          3291\n",
      "TOYOTA           2393\n",
      "MERCEDES-BENZ    1270\n",
      "CHEVROLET         791\n",
      "BMW               735\n",
      "FORD              682\n",
      "HONDA             668\n",
      "LEXUS             491\n",
      "NISSAN            448\n",
      "SSANGYONG         429\n",
      "VOLKSWAGEN        416\n",
      "KIA               333\n",
      "OPEL              232\n",
      "MITSUBISHI        212\n",
      "SUBARU            193\n",
      "AUDI              141\n",
      "dtype: int64\n",
      "Category\n",
      "Sedan        5862\n",
      "SUV          3522\n",
      "Hatchback    1910\n",
      "Minivan       771\n",
      "Coupe         353\n",
      "Universal     307\n",
      "dtype: int64\n",
      "Leather\n",
      "Yes    8956\n",
      "No     3769\n",
      "dtype: int64\n",
      "Fuel\n",
      "Petrol    6444\n",
      "Diesel    3030\n",
      "Hybrid    2101\n",
      "LPG       1150\n",
      "dtype: int64\n",
      "Engine\n",
      "2.0    3421\n",
      "2.5    1586\n",
      "1.8    1268\n",
      "1.6    1202\n",
      "1.5    1039\n",
      "3.0     663\n",
      "3.5     610\n",
      "2.4     558\n",
      "2.2     343\n",
      "1.3     336\n",
      "1.4     299\n",
      "4.6     207\n",
      "3.2     129\n",
      "1.7     127\n",
      "2.7     115\n",
      "3.3      90\n",
      "2.3      88\n",
      "1.2      74\n",
      "4.4      64\n",
      "4.7      59\n",
      "4.0      55\n",
      "2.8      51\n",
      "5.0      51\n",
      "5.5      49\n",
      "1.9      36\n",
      "3.7      33\n",
      "3.6      29\n",
      "4.8      24\n",
      "3.8      23\n",
      "2.6      15\n",
      "2.9      13\n",
      "4.2      11\n",
      "4.3       9\n",
      "2.1       9\n",
      "5.7       8\n",
      "4.5       7\n",
      "5.3       5\n",
      "6.2       4\n",
      "3.4       4\n",
      "1.1       3\n",
      "6.3       3\n",
      "5.2       1\n",
      "5.8       1\n",
      "5.9       1\n",
      "6.0       1\n",
      "3.1       1\n",
      "dtype: int64\n",
      "Cylinders\n",
      "4.0     10124\n",
      "6.0      1881\n",
      "8.0       534\n",
      "5.0       122\n",
      "12.0       25\n",
      "3.0        24\n",
      "10.0       10\n",
      "16.0        3\n",
      "7.0         2\n",
      "dtype: int64\n",
      "Transmission\n",
      "Automatic    8473\n",
      "Tiptronic    2582\n",
      "Manual       1031\n",
      "Variator      639\n",
      "dtype: int64\n",
      "Drive\n",
      "Front    9085\n",
      "4x4      2192\n",
      "Rear     1448\n",
      "dtype: int64\n",
      "Doors\n",
      "4    12234\n",
      "2      398\n",
      "5       93\n",
      "dtype: int64\n",
      "Color\n",
      "Black            3163\n",
      "White            2862\n",
      "Silver           2832\n",
      "Grey             1550\n",
      "Blue              858\n",
      "Red               369\n",
      "Orange            230\n",
      "Green             174\n",
      "Carnelian red     140\n",
      "Brown             122\n",
      "Golden            120\n",
      "Sky blue           95\n",
      "Beige              92\n",
      "Yellow             82\n",
      "Purple             23\n",
      "Pink               13\n",
      "dtype: int64\n",
      "Airbags\n",
      "4     5072\n",
      "12    2543\n",
      "8     1329\n",
      "0     1030\n",
      "6      997\n",
      "10     721\n",
      "2      662\n",
      "16      74\n",
      "5       69\n",
      "7       68\n",
      "9       50\n",
      "1       43\n",
      "11      24\n",
      "14      20\n",
      "3       18\n",
      "15       4\n",
      "13       1\n",
      "dtype: int64\n",
      "Turbo\n",
      "0    11287\n",
      "1     1438\n",
      "dtype: int64\n",
      "Origin\n",
      "Japan      4405\n",
      "Korea      4053\n",
      "Germany    2794\n",
      "US         1473\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "col_check = ['Manufacturer', 'Category', 'Leather', 'Fuel',\n",
    "       'Engine', 'Cylinders', 'Transmission', 'Drive', 'Doors', 'Color',\n",
    "       'Airbags', 'Turbo', 'Origin']\n",
    "\n",
    "for i in col_check:\n",
    "    print(data.value_counts(i))    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9179c64c",
   "metadata": {},
   "source": [
    "I want to note the domninat values in case of need to further investigate later: Cylinders (4.0), Doors(4), Turbo(0). \n",
    "\n",
    "I will calculate \"Age\" and add a column to use instead of \"Year\" variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "67f5a9ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"Age\"] = 2023 - data.Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e9a0ea60",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Price</th>\n",
       "      <th>Manufacturer</th>\n",
       "      <th>Category</th>\n",
       "      <th>Leather</th>\n",
       "      <th>Fuel</th>\n",
       "      <th>Engine</th>\n",
       "      <th>Cylinders</th>\n",
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       "      <th>Turbo</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12134</th>\n",
       "      <td>52034</td>\n",
       "      <td>FORD</td>\n",
       "      <td>SUV</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Front</td>\n",
       "      <td>4</td>\n",
       "      <td>White</td>\n",
       "      <td>4</td>\n",
       "      <td>127923</td>\n",
       "      <td>0</td>\n",
       "      <td>US</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8031</th>\n",
       "      <td>56450</td>\n",
       "      <td>TOYOTA</td>\n",
       "      <td>SUV</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>4x4</td>\n",
       "      <td>4</td>\n",
       "      <td>Grey</td>\n",
       "      <td>0</td>\n",
       "      <td>135000</td>\n",
       "      <td>0</td>\n",
       "      <td>Japan</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4067</th>\n",
       "      <td>19121</td>\n",
       "      <td>HYUNDAI</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>1.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Front</td>\n",
       "      <td>4</td>\n",
       "      <td>Grey</td>\n",
       "      <td>4</td>\n",
       "      <td>78633</td>\n",
       "      <td>0</td>\n",
       "      <td>Korea</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5955</th>\n",
       "      <td>25716</td>\n",
       "      <td>BMW</td>\n",
       "      <td>SUV</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>Tiptronic</td>\n",
       "      <td>4x4</td>\n",
       "      <td>4</td>\n",
       "      <td>Black</td>\n",
       "      <td>12</td>\n",
       "      <td>125000</td>\n",
       "      <td>0</td>\n",
       "      <td>Germany</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>872</th>\n",
       "      <td>67404</td>\n",
       "      <td>HYUNDAI</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Front</td>\n",
       "      <td>4</td>\n",
       "      <td>Black</td>\n",
       "      <td>4</td>\n",
       "      <td>40808</td>\n",
       "      <td>0</td>\n",
       "      <td>Korea</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Price Manufacturer Category Leather    Fuel  Engine  Cylinders  \\\n",
       "12134  52034         FORD      SUV     Yes  Petrol     3.5        4.0   \n",
       "8031   56450       TOYOTA      SUV     Yes  Petrol     4.0        6.0   \n",
       "4067   19121      HYUNDAI    Sedan     Yes  Petrol     1.6        4.0   \n",
       "5955   25716          BMW      SUV     Yes  Petrol     3.0        6.0   \n",
       "872    67404      HYUNDAI    Sedan     Yes  Petrol     2.0        4.0   \n",
       "\n",
       "      Transmission  Drive  Doors  Color  Airbags      Km  Turbo   Origin  Age  \n",
       "12134    Automatic  Front      4  White        4  127923      0       US    8  \n",
       "8031     Automatic    4x4      4   Grey        0  135000      0    Japan    9  \n",
       "4067     Automatic  Front      4   Grey        4   78633      0    Korea   10  \n",
       "5955     Tiptronic    4x4      4  Black       12  125000      0  Germany   15  \n",
       "872      Automatic  Front      4  Black        4   40808      0    Korea    5  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(\"Year\",axis = 1, inplace=True)\n",
    "data.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d1d95689",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>HYUNDAI</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Automatic</td>\n",
       "      <td>Front</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Black</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Japan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3291</td>\n",
       "      <td>5862</td>\n",
       "      <td>8956</td>\n",
       "      <td>6444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8473</td>\n",
       "      <td>9085</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3163</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4405</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>21820.219725</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.234837</td>\n",
       "      <td>4.494931</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.944754</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.217760</td>\n",
       "      <td>144411.909941</td>\n",
       "      <td>0.113006</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.910963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>16059.270358</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.769273</td>\n",
       "      <td>1.103954</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.359687</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.836013</td>\n",
       "      <td>97022.276654</td>\n",
       "      <td>0.316612</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.140345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2100.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.100000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10084.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>11290.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.800000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>78000.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>17249.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>127200.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>26657.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>185000.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>144261.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.300000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>793967.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Price Manufacturer Category Leather    Fuel        Engine  \\\n",
       "count    12725.000000        12725    12725   12725   12725  12725.000000   \n",
       "unique            NaN           16        6       2       4           NaN   \n",
       "top               NaN      HYUNDAI    Sedan     Yes  Petrol           NaN   \n",
       "freq              NaN         3291     5862    8956    6444           NaN   \n",
       "mean     21820.219725          NaN      NaN     NaN     NaN      2.234837   \n",
       "std      16059.270358          NaN      NaN     NaN     NaN      0.769273   \n",
       "min       2100.000000          NaN      NaN     NaN     NaN      1.100000   \n",
       "25%      11290.000000          NaN      NaN     NaN     NaN      1.800000   \n",
       "50%      17249.000000          NaN      NaN     NaN     NaN      2.000000   \n",
       "75%      26657.000000          NaN      NaN     NaN     NaN      2.500000   \n",
       "max     144261.000000          NaN      NaN     NaN     NaN      6.300000   \n",
       "\n",
       "           Cylinders Transmission  Drive         Doors  Color       Airbags  \\\n",
       "count   12725.000000        12725  12725  12725.000000  12725  12725.000000   \n",
       "unique           NaN            4      3           NaN     16           NaN   \n",
       "top              NaN    Automatic  Front           NaN  Black           NaN   \n",
       "freq             NaN         8473   9085           NaN   3163           NaN   \n",
       "mean        4.494931          NaN    NaN      3.944754    NaN      6.217760   \n",
       "std         1.103954          NaN    NaN      0.359687    NaN      3.836013   \n",
       "min         3.000000          NaN    NaN      2.000000    NaN      0.000000   \n",
       "25%         4.000000          NaN    NaN      4.000000    NaN      4.000000   \n",
       "50%         4.000000          NaN    NaN      4.000000    NaN      4.000000   \n",
       "75%         4.000000          NaN    NaN      4.000000    NaN     10.000000   \n",
       "max        16.000000          NaN    NaN      5.000000    NaN     16.000000   \n",
       "\n",
       "                   Km         Turbo Origin           Age  \n",
       "count    12725.000000  12725.000000  12725  12725.000000  \n",
       "unique            NaN           NaN      4           NaN  \n",
       "top               NaN           NaN  Japan           NaN  \n",
       "freq              NaN           NaN   4405           NaN  \n",
       "mean    144411.909941      0.113006    NaN     11.910963  \n",
       "std      97022.276654      0.316612    NaN      5.140345  \n",
       "min      10084.000000      0.000000    NaN      3.000000  \n",
       "25%      78000.000000      0.000000    NaN      8.000000  \n",
       "50%     127200.000000      0.000000    NaN     11.000000  \n",
       "75%     185000.000000      0.000000    NaN     14.000000  \n",
       "max     793967.000000      1.000000    NaN     38.000000  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe(include=\"all\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "707dd4d5",
   "metadata": {},
   "source": [
    "Checking the target value's distribution:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "21c02a47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(data.Price, density=True, bins=30)\n",
    "sns.kdeplot(data.Price,color='black')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "631e7daf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "log_target = np.log1p(data.Price)\n",
    "plt.hist(log_target, density=True, bins=30)\n",
    "sns.kdeplot(log_target,color='black')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6c17e41",
   "metadata": {},
   "source": [
    "It seems original Price values distribution is skewed, so I will use log version of it.\n",
    "Let's define the categorical variables and numeric variables before modeling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "efd1afd4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Price             int64\n",
       "Manufacturer     object\n",
       "Category         object\n",
       "Leather          object\n",
       "Fuel             object\n",
       "Engine          float64\n",
       "Cylinders       float64\n",
       "Transmission     object\n",
       "Drive            object\n",
       "Doors             int64\n",
       "Color            object\n",
       "Airbags           int64\n",
       "Km                int64\n",
       "Turbo             int64\n",
       "Origin           object\n",
       "Age               int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2a599056",
   "metadata": {},
   "outputs": [],
   "source": [
    "cat_var = []\n",
    "num_var = []\n",
    "cats = data.select_dtypes(include=[\"category\",\"object\"])\n",
    "nums = data.select_dtypes(include=[\"int64\",\"float64\"])\n",
    "\n",
    "for i in cats.columns:\n",
    "    cat_var.append(i)\n",
    "    \n",
    "for i in nums.columns:\n",
    "    num_var.append(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "31ef915f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Manufacturer', 'Category', 'Leather', 'Fuel', 'Transmission', 'Drive', 'Color', 'Origin']\n",
      "['Price', 'Engine', 'Cylinders', 'Doors', 'Airbags', 'Km', 'Turbo', 'Age']\n"
     ]
    }
   ],
   "source": [
    "print(cat_var)\n",
    "print(num_var)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6581878b",
   "metadata": {},
   "source": [
    "## Creating dummy variables for all categorical attributes and finalizing the data examination for now.\n",
    "\n",
    "I will remove Price variable from list. The Turbo variable can be considered as \"cat_var\" but it's dummied already (\"1\",\"0\")\n",
    "Doors has only 3 groups of values, so I consider it as categorical variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7e9504a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "cat_var = ['Manufacturer', 'Category', 'Leather', 'Fuel', 'Transmission', 'Drive', 'Color', 'Origin','Doors']\n",
    "num_var = ['Engine', 'Cylinders', 'Airbags', 'Km', 'Age','Turbo']\n",
    "df_cat = data[cat_var]\n",
    "df_num = data[num_var]\n",
    "target = data.Price\n",
    "\n",
    "df_cat_dummy = pd.get_dummies(df_cat, drop_first = True) # drops one dummy\n",
    "X = pd.concat([df_num, df_cat_dummy], axis = 1) # Concatenate dummy cat vars and num vars\n",
    "\n",
    "y = np.log1p(target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "27b97390",
   "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>Engine</th>\n",
       "      <th>Cylinders</th>\n",
       "      <th>Airbags</th>\n",
       "      <th>Km</th>\n",
       "      <th>Age</th>\n",
       "      <th>Turbo</th>\n",
       "      <th>Doors</th>\n",
       "      <th>Manufacturer_BMW</th>\n",
       "      <th>Manufacturer_CHEVROLET</th>\n",
       "      <th>Manufacturer_FORD</th>\n",
       "      <th>...</th>\n",
       "      <th>Color_Pink</th>\n",
       "      <th>Color_Purple</th>\n",
       "      <th>Color_Red</th>\n",
       "      <th>Color_Silver</th>\n",
       "      <th>Color_Sky blue</th>\n",
       "      <th>Color_White</th>\n",
       "      <th>Color_Yellow</th>\n",
       "      <th>Origin_Japan</th>\n",
       "      <th>Origin_Korea</th>\n",
       "      <th>Origin_US</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6927</th>\n",
       "      <td>2.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>150000</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5971</th>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2</td>\n",
       "      <td>220000</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>914</th>\n",
       "      <td>2.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>380000</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1629</th>\n",
       "      <td>2.7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12</td>\n",
       "      <td>397915</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1592</th>\n",
       "      <td>3.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>320000</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Engine  Cylinders  Airbags      Km  Age  Turbo  Doors  Manufacturer_BMW  \\\n",
       "6927     2.8        4.0        6  150000   25      0      4                 0   \n",
       "5971     2.3        4.0        2  220000   31      0      4                 0   \n",
       "914      2.2        4.0        4  380000   27      0      4                 0   \n",
       "1629     2.7        4.0       12  397915   10      0      4                 0   \n",
       "1592     3.2        4.0        4  320000   23      0      2                 0   \n",
       "\n",
       "      Manufacturer_CHEVROLET  Manufacturer_FORD  ...  Color_Pink  \\\n",
       "6927                       0                  0  ...           0   \n",
       "5971                       0                  0  ...           0   \n",
       "914                        0                  0  ...           0   \n",
       "1629                       0                  0  ...           0   \n",
       "1592                       0                  0  ...           0   \n",
       "\n",
       "      Color_Purple  Color_Red  Color_Silver  Color_Sky blue  Color_White  \\\n",
       "6927             0          0             1               0            0   \n",
       "5971             0          0             0               0            0   \n",
       "914              0          0             0               0            0   \n",
       "1629             0          0             0               0            1   \n",
       "1592             0          0             0               0            0   \n",
       "\n",
       "      Color_Yellow  Origin_Japan  Origin_Korea  Origin_US  \n",
       "6927             0             0             0          0  \n",
       "5971             0             0             0          0  \n",
       "914              0             0             0          0  \n",
       "1629             0             1             0          0  \n",
       "1592             0             0             0          0  \n",
       "\n",
       "[5 rows x 54 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "67721abe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Engine', 'Cylinders', 'Airbags', 'Km', 'Age', 'Turbo', 'Doors',\n",
       "       'Manufacturer_BMW', 'Manufacturer_CHEVROLET', 'Manufacturer_FORD',\n",
       "       'Manufacturer_HONDA', 'Manufacturer_HYUNDAI', 'Manufacturer_KIA',\n",
       "       'Manufacturer_LEXUS', 'Manufacturer_MERCEDES-BENZ',\n",
       "       'Manufacturer_MITSUBISHI', 'Manufacturer_NISSAN', 'Manufacturer_OPEL',\n",
       "       'Manufacturer_SSANGYONG', 'Manufacturer_SUBARU', 'Manufacturer_TOYOTA',\n",
       "       'Manufacturer_VOLKSWAGEN', 'Category_Hatchback', 'Category_Minivan',\n",
       "       'Category_SUV', 'Category_Sedan', 'Category_Universal', 'Leather_Yes',\n",
       "       'Fuel_Hybrid', 'Fuel_LPG', 'Fuel_Petrol', 'Transmission_Manual',\n",
       "       'Transmission_Tiptronic', 'Transmission_Variator', 'Drive_Front',\n",
       "       'Drive_Rear', 'Color_Black', 'Color_Blue', 'Color_Brown',\n",
       "       'Color_Carnelian red', 'Color_Golden', 'Color_Green', 'Color_Grey',\n",
       "       'Color_Orange', 'Color_Pink', 'Color_Purple', 'Color_Red',\n",
       "       'Color_Silver', 'Color_Sky blue', 'Color_White', 'Color_Yellow',\n",
       "       'Origin_Japan', 'Origin_Korea', 'Origin_US'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7f5208cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9056     9.486380\n",
       "2479     8.422443\n",
       "462      9.755567\n",
       "4918    10.091998\n",
       "541      9.967729\n",
       "Name: Price, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.sample(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1bbfdc4c",
   "metadata": {},
   "source": [
    "## Split the data into train and test sets and Start Creating Model0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a8aebfb7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2:  0.6180442495198288\n",
      "MSE:  0.15229753102827456\n",
      "RMSE:  0.39025316273961774\n",
      "MAE:  0.2997104554362891\n"
     ]
    }
   ],
   "source": [
    "# Model0\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 42)\n",
    "\n",
    "lr = LinearRegression()\n",
    "lr.fit(X_train,y_train)\n",
    "prediction = lr.predict(X_test)\n",
    "\n",
    "r2 = mt.r2_score(y_test,prediction)\n",
    "mse = mt.mean_squared_error(y_test,prediction)\n",
    "rmse = mt.mean_squared_error(y_test,prediction,squared=False)\n",
    "mae = mt.mean_absolute_error(y_test,prediction)\n",
    "\n",
    "print(\"R2: \", r2)\n",
    "print(\"MSE: \", mse)\n",
    "print(\"RMSE: \", rmse)\n",
    "print(\"MAE: \", mae)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ea34341e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,6))\n",
    "sns.distplot(y_test - prediction)\n",
    "plt.title('Distribution of residuals');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5bdc836b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Scatterplot of Predictions Vs. Actual Values\n",
    "plt.figure(figsize=(8,6))\n",
    "sns.regplot(y = prediction, x = y_test, color = 'green', label = 'Test Data', scatter_kws={'alpha':0.6})\n",
    "plt.title('Predicted Values vs Test Values')\n",
    "plt.xlabel('Real Values')\n",
    "plt.ylabel('Predicted Values')\n",
    "plt.legend(loc = 'upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9043813a",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting Residuals\n",
    "plt.figure(figsize=(8,6))\n",
    "sns.regplot(x = prediction, y = prediction - y_test, label = 'Test Data', color = 'green', scatter_kws={'alpha':0.6})\n",
    "plt.legend(loc = 'best')\n",
    "plt.title('Residuals plot')\n",
    "plt.ylabel('Residuals')\n",
    "plt.xlabel('Predicted Values')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b36f2006",
   "metadata": {},
   "source": [
    "## Model0 : As we can see residuals' distrubition is normal and plot result seemed to have almost homogeneity. So, I can understand that we can only make model tuning from now on."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d385a06",
   "metadata": {},
   "source": [
    "# Checking Correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2087c5ec",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Corr of Numerical Variables\n",
    "num_var2 = ['Engine', 'Cylinders', 'Airbags', 'Km', 'Age']\n",
    "df_num2 = data[num_var2]\n",
    "\n",
    "corr_num = df_num2.corr()\n",
    "sns.heatmap(corr_num,annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3dd90cac",
   "metadata": {},
   "source": [
    "We have seen that there is a correlation between the cylinder and the engine itself. Now we will look at the correlation with the target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "71ad3476",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_var3 = ['Engine', 'Cylinders', 'Airbags', 'Km', 'Age', 'Price']\n",
    "df_num3 = data[num_var3]\n",
    "\n",
    "corr_num = df_num3.corr()\n",
    "sns.heatmap(corr_num,annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6190a37c",
   "metadata": {},
   "source": [
    "Engine and Cylinder have low corr with Price. So I decided to drop \"Cylinder\" variable. Let's look at the plots:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "fa861d5e",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x720 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(2, 3, figsize = (18, 10))\n",
    "\n",
    "for i, ax in enumerate(fig.axes):\n",
    "    sns.regplot(x=num_var2[i], y='Price', data=data, ax=ax)\n",
    "    if i == 4:\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6cd905bd",
   "metadata": {},
   "source": [
    "## Categorical Variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e86027c3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x2520 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_var = ['Manufacturer', 'Category', 'Leather', 'Fuel', 'Transmission', 'Drive', 'Color', 'Origin','Doors', 'Turbo']\n",
    "df_cat = data[cat_var]\n",
    "df3 = df_cat.copy()\n",
    "df3['Price'] = data.Price\n",
    "\n",
    "f = pd.melt(df3, id_vars = 'Price', value_vars = cat_var)\n",
    "g = sns.FacetGrid(f, col = \"variable\",  col_wrap = 2, sharex = False, sharey = False, size = 7)\n",
    "g.map(sns.boxplot, 'value', 'Price', palette = 'viridis');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13e598c4",
   "metadata": {},
   "source": [
    "### There are too many outliers as I saw from boxplots with cat_var & target. I decided to making some trials."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9539d63f",
   "metadata": {},
   "source": [
    "# Model2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "f7fc6632",
   "metadata": {},
   "outputs": [],
   "source": [
    "# I drop the Cylinders. \n",
    "\n",
    "# Model2\n",
    "\n",
    "cat_var_m2 = ['Manufacturer', 'Category', 'Leather', 'Fuel', 'Transmission', 'Drive', 'Color', 'Origin','Doors']\n",
    "num_var_m2 = ['Engine', 'Airbags', 'Km', 'Age','Turbo']\n",
    "df_cat_m2 = data[cat_var_m2]\n",
    "df_num_m2 = data[num_var_m2]\n",
    "target = data.Price\n",
    "\n",
    "df_cat_dummy_m2 = pd.get_dummies(df_cat_m2, drop_first = True) # drops one dummy\n",
    "X = pd.concat([df_num_m2, df_cat_dummy_m2], axis = 1) # Concatenate dummy cat vars and num vars\n",
    "y = np.log1p(target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f931629b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2:  0.6186859229329544\n",
      "MSE:  0.15204167605967506\n",
      "RMSE:  0.38992521854796086\n",
      "MAE:  0.2993705007267769\n"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 42)\n",
    "\n",
    "lr = LinearRegression()\n",
    "lr.fit(X_train,y_train)\n",
    "prediction = lr.predict(X_test)\n",
    "\n",
    "r2 = mt.r2_score(y_test,prediction)\n",
    "mse = mt.mean_squared_error(y_test,prediction)\n",
    "rmse = mt.mean_squared_error(y_test,prediction,squared=False)\n",
    "mae = mt.mean_absolute_error(y_test,prediction)\n",
    "\n",
    "print(\"R2: \", r2)\n",
    "print(\"MSE: \", mse)\n",
    "print(\"RMSE: \", rmse)\n",
    "print(\"MAE: \", mae)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63c6cf4d",
   "metadata": {},
   "source": [
    "### As I can see R2 score is improved without Cylinders."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5b78f7f",
   "metadata": {},
   "source": [
    "# Model3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "23c03f77",
   "metadata": {},
   "outputs": [],
   "source": [
    "# I drop the Doors as it has domination. \n",
    "# Model 3\n",
    "\n",
    "cat_var_m3 = ['Manufacturer', 'Category', 'Leather', 'Fuel', 'Transmission', 'Drive', 'Color', 'Origin']\n",
    "num_var_m3 = ['Engine', 'Airbags', 'Km', 'Age','Turbo']\n",
    "df_cat_m3 = data[cat_var_m3]\n",
    "df_num_m3 = data[num_var_m3]\n",
    "target = data.Price\n",
    "\n",
    "df_cat_dummy_m3 = pd.get_dummies(df_cat_m3, drop_first = True) # drops one dummy\n",
    "X = pd.concat([df_num_m3, df_cat_dummy_m3], axis = 1) # Concatenate dummy cat vars and num vars\n",
    "y = np.log(target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "488c2143",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2:  0.6182904560370184\n",
      "MSE:  0.15221997422778183\n",
      "RMSE:  0.39015378279312096\n",
      "MAE:  0.2993658963758446\n"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 42)\n",
    "\n",
    "lr = LinearRegression()\n",
    "lr.fit(X_train,y_train)\n",
    "prediction = lr.predict(X_test)\n",
    "\n",
    "r2 = mt.r2_score(y_test,prediction)\n",
    "mse = mt.mean_squared_error(y_test,prediction)\n",
    "rmse = mt.mean_squared_error(y_test,prediction,squared=False)\n",
    "mae = mt.mean_absolute_error(y_test,prediction)\n",
    "\n",
    "print(\"R2: \", r2)\n",
    "print(\"MSE: \", mse)\n",
    "print(\"RMSE: \", rmse)\n",
    "print(\"MAE: \", mae)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19fa8073",
   "metadata": {},
   "source": [
    "### As Km and Age have non-linear relation with price I'll try same changes in those."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb3fc46f",
   "metadata": {},
   "source": [
    "# Model4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "9f36bef4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Km - Age root\n",
    "# Model 4\n",
    "\n",
    "cat_var_m4 = ['Manufacturer', 'Category', 'Leather', 'Fuel', 'Transmission', 'Drive', 'Color', 'Origin','Doors']\n",
    "num_var_m4 = ['Engine', 'Airbags', 'Km', 'Age','Turbo']\n",
    "df_cat_m4 = data[cat_var_m4]\n",
    "df_num_m4 = data[num_var_m4]\n",
    "df_num_m4['Km'] = df_num_m4['Km'] **0.5\n",
    "df_num_m4['Age'] = df_num_m4['Age'] **0.5\n",
    "\n",
    "target = data.Price\n",
    "\n",
    "df_cat_dummy_m4 = pd.get_dummies(df_cat_m4, drop_first = True) # drops one dummy\n",
    "X = pd.concat([df_num_m4, df_cat_dummy_m4], axis = 1) # Concatenate dummy cat vars and num vars\n",
    "y = np.log(target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "e0d5989c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2:  0.6222030189034201\n",
      "MSE:  0.1506597035242911\n",
      "RMSE:  0.38814907384185665\n",
      "MAE:  0.2981945570583044\n"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state = 42)\n",
    "\n",
    "lr = LinearRegression()\n",
    "lr.fit(X_train,y_train)\n",
    "prediction = lr.predict(X_test)\n",
    "\n",
    "r2 = mt.r2_score(y_test,prediction)\n",
    "mse = mt.mean_squared_error(y_test,prediction)\n",
    "rmse = mt.mean_squared_error(y_test,prediction,squared=False)\n",
    "mae = mt.mean_absolute_error(y_test,prediction)\n",
    "\n",
    "print(\"R2: \", r2)\n",
    "print(\"MSE: \", mse)\n",
    "print(\"RMSE: \", rmse)\n",
    "print(\"MAE: \", mae)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1917dfd",
   "metadata": {},
   "source": [
    "# Ridge with opt. alpha value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "fc980e23",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2:  0.6222217475889662\n",
      "MSE:  0.1506522348086767\n",
      "RMSE:  0.38813945278556355\n",
      "MAE:  0.29818511943604453\n",
      "Train Score:  0.6262315116469079\n",
      "Test Score:  0.6222217475889662\n"
     ]
    }
   ],
   "source": [
    "# Ridge\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.2,random_state=42)\n",
    "\n",
    "ridge_model = Ridge(alpha=0.1)\n",
    "ridge_model.fit(X_train,y_train)\n",
    "prediction2 = ridge_model.predict(X_test)\n",
    "\n",
    "r2_rid = mt.r2_score(y_test,prediction2)\n",
    "mse_rid = mt.mean_squared_error(y_test,prediction2)\n",
    "rmse_rid = mt.mean_squared_error(y_test,prediction2,squared=False)\n",
    "mae_rid = mt.mean_absolute_error(y_test,prediction2)\n",
    "\n",
    "print(\"R2: \", r2_rid)\n",
    "print(\"MSE: \", mse_rid)\n",
    "print(\"RMSE: \", rmse_rid)\n",
    "print(\"MAE: \", mae_rid)\n",
    "\n",
    "print(\"Train Score: \",ridge_model.score(X_train,y_train))\n",
    "print(\"Test Score: \",ridge_model.score(X_test,y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "d0f780b7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.055654153948428\n"
     ]
    }
   ],
   "source": [
    "lambdas = 10**np.linspace(10,-2,100)*0.5\n",
    "ridge_cv=RidgeCV(alphas=lambdas,scoring=\"r2\")\n",
    "ridge_cv.fit(X_train,y_train)\n",
    "print(ridge_cv.alpha_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "89cf4ff7",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2:  0.6388109559297765\n",
      "MSE:  0.14153865008576738\n",
      "RMSE:  0.3762162278341637\n",
      "MAE:  0.29174652060272804\n",
      "Train Score:  0.6243811052979822\n",
      "Test Score:  0.6388109559297765\n"
     ]
    }
   ],
   "source": [
    "# Ridge optimum value\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.1,random_state=42)\n",
    "\n",
    "ridge_model = Ridge(alpha=4.055654153948428)\n",
    "ridge_model.fit(X_train,y_train)\n",
    "prediction2 = ridge_model.predict(X_test)\n",
    "\n",
    "r2_rid = mt.r2_score(y_test,prediction2)\n",
    "mse_rid = mt.mean_squared_error(y_test,prediction2)\n",
    "rmse_rid = mt.mean_squared_error(y_test,prediction2,squared=False)\n",
    "mae_rid = mt.mean_absolute_error(y_test,prediction2)\n",
    "\n",
    "print(\"R2: \", r2_rid)\n",
    "print(\"MSE: \", mse_rid)\n",
    "print(\"RMSE: \", rmse_rid)\n",
    "print(\"MAE: \", mae_rid)\n",
    "\n",
    "print(\"Train Score: \",ridge_model.score(X_train,y_train))\n",
    "print(\"Test Score: \",ridge_model.score(X_test,y_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89e50f1e",
   "metadata": {},
   "source": [
    "### Best model so far. Using Pipeline:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "8cb2064c",
   "metadata": {},
   "outputs": [],
   "source": [
    "cat = ['Manufacturer', 'Category', 'Leather', 'Fuel', 'Transmission', 'Drive', 'Color', 'Origin','Doors']\n",
    "num = ['Engine', 'Airbags', 'Km', 'Age','Turbo']\n",
    "# for numericals: df_num_m4\n",
    "# df_num_m4['Km'] = df_num_m4['Km'] **0.5\n",
    "# df_num_m4['Age'] = df_num_m4['Age'] **0.5\n",
    "\n",
    "X = pd.concat([df_num_m4, data[cat]], axis = 1)\n",
    "y = np.log(target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "e4d37c92",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2:  0.6387156591145775\n",
      "RMSE:  0.37626585536912127\n",
      "-----------------\n",
      "Train Score:  0.6243320838509374\n",
      "Test Score:  0.6387156591145775\n"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.1, random_state = 42)\n",
    "\n",
    "num_transformer = Pipeline(steps=[('scale',  StandardScaler(with_mean=False))])\n",
    "cat_transformer = Pipeline(steps=[('onehot', OneHotEncoder(drop='first', handle_unknown='ignore'))])                        \n",
    "preprocessor = ColumnTransformer(transformers=[('categorical', cat_transformer, cat),\n",
    "                                               ('numerical', num_transformer, num)],\n",
    "                                               remainder = 'passthrough') \n",
    "\n",
    "pipeline = Pipeline(steps=[('preprocessor', preprocessor),\n",
    "                       ('regressor', Ridge(alpha=4.055654153948428))]) \n",
    "\n",
    "pipeline.fit(X_train,y_train)\n",
    "predictions = pipeline.predict(X_test)\n",
    "\n",
    "r2_rid = mt.r2_score(y_test,predictions)\n",
    "rmse_rid = mt.mean_squared_error(y_test,predictions,squared=False)\n",
    "\n",
    "print(\"R2: \", r2_rid)\n",
    "print(\"RMSE: \", rmse_rid)\n",
    "print(\"-----------------\")\n",
    "print(\"Train Score: \",pipeline.score(X_train,y_train))\n",
    "print(\"Test Score: \",pipeline.score(X_test,y_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e3d520f",
   "metadata": {},
   "source": [
    "# VIF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b1a39431",
   "metadata": {
    "scrolled": true
   },
   "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>Variables</th>\n",
       "      <th>VIF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Engine</td>\n",
       "      <td>2.656970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cylinders</td>\n",
       "      <td>2.678445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Airbags</td>\n",
       "      <td>1.129302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Km</td>\n",
       "      <td>1.112364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Age</td>\n",
       "      <td>1.167844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Turbo</td>\n",
       "      <td>1.037117</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Variables       VIF\n",
       "0     Engine  2.656970\n",
       "1  Cylinders  2.678445\n",
       "2    Airbags  1.129302\n",
       "3         Km  1.112364\n",
       "4        Age  1.167844\n",
       "5      Turbo  1.037117"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
    "\n",
    "y = data0[\"Price\"]\n",
    "X = df_num\n",
    "\n",
    "sabit = sm.add_constant(X)\n",
    "vif = pd.DataFrame()\n",
    "vif[\"Variables\"]= X.columns\n",
    "vif[\"VIF\"]=[variance_inflation_factor(sabit,i+1) for i in range(X.shape[1])]\n",
    "vif"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c92c0c57",
   "metadata": {},
   "source": [
    "### VIF results show that there are no Multicollinearity."
   ]
  }
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