car prediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "638832ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/tribhuvan\n"
     ]
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import scipy.stats as stats\n",
    "import os\n",
    "import math\n",
    "working_directory = os.getcwd()\n",
    "print(working_directory)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7f7522d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "path = working_directory + '/Documents/Data analytics/CAR DETAILS FROM CAR DEKHO.csv.xls'\n",
    "df = pd.read_csv(path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "992e520a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>year</th>\n",
       "      <th>selling_price</th>\n",
       "      <th>km_driven</th>\n",
       "      <th>fuel</th>\n",
       "      <th>seller_type</th>\n",
       "      <th>transmission</th>\n",
       "      <th>owner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Maruti 800 AC</td>\n",
       "      <td>2007</td>\n",
       "      <td>60000</td>\n",
       "      <td>70000</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>First Owner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Maruti Wagon R LXI Minor</td>\n",
       "      <td>2007</td>\n",
       "      <td>135000</td>\n",
       "      <td>50000</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>First Owner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Hyundai Verna 1.6 SX</td>\n",
       "      <td>2012</td>\n",
       "      <td>600000</td>\n",
       "      <td>100000</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>First Owner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Datsun RediGO T Option</td>\n",
       "      <td>2017</td>\n",
       "      <td>250000</td>\n",
       "      <td>46000</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>First Owner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Honda Amaze VX i-DTEC</td>\n",
       "      <td>2014</td>\n",
       "      <td>450000</td>\n",
       "      <td>141000</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Second Owner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4335</th>\n",
       "      <td>Hyundai i20 Magna 1.4 CRDi (Diesel)</td>\n",
       "      <td>2014</td>\n",
       "      <td>409999</td>\n",
       "      <td>80000</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Second Owner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4336</th>\n",
       "      <td>Hyundai i20 Magna 1.4 CRDi</td>\n",
       "      <td>2014</td>\n",
       "      <td>409999</td>\n",
       "      <td>80000</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Second Owner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4337</th>\n",
       "      <td>Maruti 800 AC BSIII</td>\n",
       "      <td>2009</td>\n",
       "      <td>110000</td>\n",
       "      <td>83000</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Second Owner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4338</th>\n",
       "      <td>Hyundai Creta 1.6 CRDi SX Option</td>\n",
       "      <td>2016</td>\n",
       "      <td>865000</td>\n",
       "      <td>90000</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>First Owner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4339</th>\n",
       "      <td>Renault KWID RXT</td>\n",
       "      <td>2016</td>\n",
       "      <td>225000</td>\n",
       "      <td>40000</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>First Owner</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4340 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     name  year  selling_price  km_driven  \\\n",
       "0                           Maruti 800 AC  2007          60000      70000   \n",
       "1                Maruti Wagon R LXI Minor  2007         135000      50000   \n",
       "2                    Hyundai Verna 1.6 SX  2012         600000     100000   \n",
       "3                  Datsun RediGO T Option  2017         250000      46000   \n",
       "4                   Honda Amaze VX i-DTEC  2014         450000     141000   \n",
       "...                                   ...   ...            ...        ...   \n",
       "4335  Hyundai i20 Magna 1.4 CRDi (Diesel)  2014         409999      80000   \n",
       "4336           Hyundai i20 Magna 1.4 CRDi  2014         409999      80000   \n",
       "4337                  Maruti 800 AC BSIII  2009         110000      83000   \n",
       "4338     Hyundai Creta 1.6 CRDi SX Option  2016         865000      90000   \n",
       "4339                     Renault KWID RXT  2016         225000      40000   \n",
       "\n",
       "        fuel seller_type transmission         owner  \n",
       "0     Petrol  Individual       Manual   First Owner  \n",
       "1     Petrol  Individual       Manual   First Owner  \n",
       "2     Diesel  Individual       Manual   First Owner  \n",
       "3     Petrol  Individual       Manual   First Owner  \n",
       "4     Diesel  Individual       Manual  Second Owner  \n",
       "...      ...         ...          ...           ...  \n",
       "4335  Diesel  Individual       Manual  Second Owner  \n",
       "4336  Diesel  Individual       Manual  Second Owner  \n",
       "4337  Petrol  Individual       Manual  Second Owner  \n",
       "4338  Diesel  Individual       Manual   First Owner  \n",
       "4339  Petrol  Individual       Manual   First Owner  \n",
       "\n",
       "[4340 rows x 8 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5990e413",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>year</th>\n",
       "      <th>selling_price</th>\n",
       "      <th>km_driven</th>\n",
       "      <th>fuel</th>\n",
       "      <th>seller_type</th>\n",
       "      <th>transmission</th>\n",
       "      <th>owner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Maruti 800 AC</td>\n",
       "      <td>2007</td>\n",
       "      <td>60000</td>\n",
       "      <td>70000</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>First Owner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Maruti Wagon R LXI Minor</td>\n",
       "      <td>2007</td>\n",
       "      <td>135000</td>\n",
       "      <td>50000</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>First Owner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Hyundai Verna 1.6 SX</td>\n",
       "      <td>2012</td>\n",
       "      <td>600000</td>\n",
       "      <td>100000</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>First Owner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Datsun RediGO T Option</td>\n",
       "      <td>2017</td>\n",
       "      <td>250000</td>\n",
       "      <td>46000</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>First Owner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Honda Amaze VX i-DTEC</td>\n",
       "      <td>2014</td>\n",
       "      <td>450000</td>\n",
       "      <td>141000</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Second Owner</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       name  year  selling_price  km_driven    fuel  \\\n",
       "0             Maruti 800 AC  2007          60000      70000  Petrol   \n",
       "1  Maruti Wagon R LXI Minor  2007         135000      50000  Petrol   \n",
       "2      Hyundai Verna 1.6 SX  2012         600000     100000  Diesel   \n",
       "3    Datsun RediGO T Option  2017         250000      46000  Petrol   \n",
       "4     Honda Amaze VX i-DTEC  2014         450000     141000  Diesel   \n",
       "\n",
       "  seller_type transmission         owner  \n",
       "0  Individual       Manual   First Owner  \n",
       "1  Individual       Manual   First Owner  \n",
       "2  Individual       Manual   First Owner  \n",
       "3  Individual       Manual   First Owner  \n",
       "4  Individual       Manual  Second Owner  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4e929362",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4340, 8)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3b72ae30",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Individual' 'Dealer' 'Trustmark Dealer']\n",
      "['Manual' 'Automatic']\n",
      "['First Owner' 'Second Owner' 'Fourth & Above Owner' 'Third Owner'\n",
      " 'Test Drive Car']\n",
      "['Petrol' 'Diesel' 'CNG' 'LPG' 'Electric']\n"
     ]
    }
   ],
   "source": [
    "print(df['seller_type'].unique())\n",
    "print(df['transmission'].unique())\n",
    "print(df['owner'].unique())\n",
    "print(df['fuel'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f78628ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name             0\n",
       "year             0\n",
       "selling_price    0\n",
       "km_driven        0\n",
       "fuel             0\n",
       "seller_type      0\n",
       "transmission     0\n",
       "owner            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##check missiong or null values\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "536edbf7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>selling_price</th>\n",
       "      <th>km_driven</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4340.000000</td>\n",
       "      <td>4.340000e+03</td>\n",
       "      <td>4340.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2013.090783</td>\n",
       "      <td>5.041273e+05</td>\n",
       "      <td>66215.777419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.215344</td>\n",
       "      <td>5.785487e+05</td>\n",
       "      <td>46644.102194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1992.000000</td>\n",
       "      <td>2.000000e+04</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2011.000000</td>\n",
       "      <td>2.087498e+05</td>\n",
       "      <td>35000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2014.000000</td>\n",
       "      <td>3.500000e+05</td>\n",
       "      <td>60000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2016.000000</td>\n",
       "      <td>6.000000e+05</td>\n",
       "      <td>90000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2020.000000</td>\n",
       "      <td>8.900000e+06</td>\n",
       "      <td>806599.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              year  selling_price      km_driven\n",
       "count  4340.000000   4.340000e+03    4340.000000\n",
       "mean   2013.090783   5.041273e+05   66215.777419\n",
       "std       4.215344   5.785487e+05   46644.102194\n",
       "min    1992.000000   2.000000e+04       1.000000\n",
       "25%    2011.000000   2.087498e+05   35000.000000\n",
       "50%    2014.000000   3.500000e+05   60000.000000\n",
       "75%    2016.000000   6.000000e+05   90000.000000\n",
       "max    2020.000000   8.900000e+06  806599.000000"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "90dc8a5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['name', 'year', 'selling_price', 'km_driven', 'fuel', 'seller_type',\n",
       "       'transmission', 'owner'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "bc8e4c74",
   "metadata": {},
   "outputs": [],
   "source": [
    "final_dataset=df[['year', 'selling_price', 'km_driven', 'fuel', 'seller_type',\n",
    "       'transmission', 'owner']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "391066cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "final_dataset['current_year']=2022"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "bcfcd102",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>selling_price</th>\n",
       "      <th>km_driven</th>\n",
       "      <th>fuel</th>\n",
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       "      <th>0</th>\n",
       "      <td>2007</td>\n",
       "      <td>60000</td>\n",
       "      <td>70000</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>First Owner</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2007</td>\n",
       "      <td>135000</td>\n",
       "      <td>50000</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>Individual</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012</td>\n",
       "      <td>600000</td>\n",
       "      <td>100000</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>First Owner</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017</td>\n",
       "      <td>250000</td>\n",
       "      <td>46000</td>\n",
       "      <td>Petrol</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>First Owner</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014</td>\n",
       "      <td>450000</td>\n",
       "      <td>141000</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Second Owner</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  selling_price  km_driven    fuel seller_type transmission  \\\n",
       "0  2007          60000      70000  Petrol  Individual       Manual   \n",
       "1  2007         135000      50000  Petrol  Individual       Manual   \n",
       "2  2012         600000     100000  Diesel  Individual       Manual   \n",
       "3  2017         250000      46000  Petrol  Individual       Manual   \n",
       "4  2014         450000     141000  Diesel  Individual       Manual   \n",
       "\n",
       "          owner  current_year  \n",
       "0   First Owner          2022  \n",
       "1   First Owner          2022  \n",
       "2   First Owner          2022  \n",
       "3   First Owner          2022  \n",
       "4  Second Owner          2022  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2c845da8",
   "metadata": {},
   "outputs": [],
   "source": [
    "final_dataset['no_year']=final_dataset['current_year']-final_dataset['year']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "194079d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "   year  selling_price  km_driven    fuel seller_type transmission  \\\n",
       "0  2007          60000      70000  Petrol  Individual       Manual   \n",
       "1  2007         135000      50000  Petrol  Individual       Manual   \n",
       "2  2012         600000     100000  Diesel  Individual       Manual   \n",
       "3  2017         250000      46000  Petrol  Individual       Manual   \n",
       "4  2014         450000     141000  Diesel  Individual       Manual   \n",
       "\n",
       "          owner  current_year  no_year  \n",
       "0   First Owner          2022       15  \n",
       "1   First Owner          2022       15  \n",
       "2   First Owner          2022       10  \n",
       "3   First Owner          2022        5  \n",
       "4  Second Owner          2022        8  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "final_dataset.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8f9374d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "final_dataset.drop(['year'],axis=1,inplace=True)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "0c065cb3",
   "metadata": {},
   "outputs": [],
   "source": [
    "final_dataset.drop(['current_year'],axis=1,inplace=True)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "26501351",
   "metadata": {},
   "outputs": [
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       "   selling_price  km_driven    fuel seller_type transmission         owner  \\\n",
       "0          60000      70000  Petrol  Individual       Manual   First Owner   \n",
       "1         135000      50000  Petrol  Individual       Manual   First Owner   \n",
       "2         600000     100000  Diesel  Individual       Manual   First Owner   \n",
       "3         250000      46000  Petrol  Individual       Manual   First Owner   \n",
       "4         450000     141000  Diesel  Individual       Manual  Second Owner   \n",
       "\n",
       "   no_year  \n",
       "0       15  \n",
       "1       15  \n",
       "2       10  \n",
       "3        5  \n",
       "4        8  "
      ]
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     "execution_count": 22,
     "metadata": {},
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  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "10fa5ce7",
   "metadata": {},
   "outputs": [],
   "source": [
    "final_dataset=pd.get_dummies(final_dataset,drop_first=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "12b0f0e5",
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "   selling_price  km_driven  no_year  fuel_Diesel  fuel_Electric  fuel_LPG  \\\n",
       "0          60000      70000       15            0              0         0   \n",
       "1         135000      50000       15            0              0         0   \n",
       "2         600000     100000       10            1              0         0   \n",
       "3         250000      46000        5            0              0         0   \n",
       "4         450000     141000        8            1              0         0   \n",
       "\n",
       "   fuel_Petrol  seller_type_Individual  seller_type_Trustmark Dealer  \\\n",
       "0            1                       1                             0   \n",
       "1            1                       1                             0   \n",
       "2            0                       1                             0   \n",
       "3            1                       1                             0   \n",
       "4            0                       1                             0   \n",
       "\n",
       "   transmission_Manual  owner_Fourth & Above Owner  owner_Second Owner  \\\n",
       "0                    1                           0                   0   \n",
       "1                    1                           0                   0   \n",
       "2                    1                           0                   0   \n",
       "3                    1                           0                   0   \n",
       "4                    1                           0                   1   \n",
       "\n",
       "   owner_Test Drive Car  owner_Third Owner  \n",
       "0                     0                  0  \n",
       "1                     0                  0  \n",
       "2                     0                  0  \n",
       "3                     0                  0  \n",
       "4                     0                  0  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3631d3f3",
   "metadata": {},
   "outputs": [
    {
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       "      <td>0.009373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fuel_Electric</th>\n",
       "      <td>-0.005095</td>\n",
       "      <td>-0.001372</td>\n",
       "      <td>0.025540</td>\n",
       "      <td>-0.015063</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.001108</td>\n",
       "      <td>-0.014856</td>\n",
       "      <td>-0.026118</td>\n",
       "      <td>-0.002355</td>\n",
       "      <td>-0.044746</td>\n",
       "      <td>-0.002094</td>\n",
       "      <td>0.025960</td>\n",
       "      <td>-0.000952</td>\n",
       "      <td>-0.004166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fuel_LPG</th>\n",
       "      <td>-0.042434</td>\n",
       "      <td>0.036652</td>\n",
       "      <td>0.051266</td>\n",
       "      <td>-0.072422</td>\n",
       "      <td>-0.001108</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.071427</td>\n",
       "      <td>0.035122</td>\n",
       "      <td>-0.011324</td>\n",
       "      <td>0.024764</td>\n",
       "      <td>0.013384</td>\n",
       "      <td>0.030141</td>\n",
       "      <td>-0.004577</td>\n",
       "      <td>0.004836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fuel_Petrol</th>\n",
       "      <td>-0.269453</td>\n",
       "      <td>-0.291139</td>\n",
       "      <td>0.114908</td>\n",
       "      <td>-0.970934</td>\n",
       "      <td>-0.014856</td>\n",
       "      <td>-0.071427</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.029845</td>\n",
       "      <td>0.012489</td>\n",
       "      <td>0.039614</td>\n",
       "      <td>0.011502</td>\n",
       "      <td>-0.012717</td>\n",
       "      <td>0.012427</td>\n",
       "      <td>-0.008502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>seller_type_Individual</th>\n",
       "      <td>-0.236798</td>\n",
       "      <td>0.182663</td>\n",
       "      <td>0.173703</td>\n",
       "      <td>-0.035314</td>\n",
       "      <td>-0.026118</td>\n",
       "      <td>0.035122</td>\n",
       "      <td>0.029845</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.266904</td>\n",
       "      <td>0.214163</td>\n",
       "      <td>0.072322</td>\n",
       "      <td>0.186573</td>\n",
       "      <td>-0.107886</td>\n",
       "      <td>0.140823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>seller_type_Trustmark Dealer</th>\n",
       "      <td>0.110176</td>\n",
       "      <td>-0.089858</td>\n",
       "      <td>-0.100225</td>\n",
       "      <td>-0.007911</td>\n",
       "      <td>-0.002355</td>\n",
       "      <td>-0.011324</td>\n",
       "      <td>0.012489</td>\n",
       "      <td>-0.266904</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.042346</td>\n",
       "      <td>-0.021395</td>\n",
       "      <td>-0.076764</td>\n",
       "      <td>-0.009729</td>\n",
       "      <td>-0.042578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>transmission_Manual</th>\n",
       "      <td>-0.530205</td>\n",
       "      <td>0.120226</td>\n",
       "      <td>0.143800</td>\n",
       "      <td>-0.048098</td>\n",
       "      <td>-0.044746</td>\n",
       "      <td>0.024764</td>\n",
       "      <td>0.039614</td>\n",
       "      <td>0.214163</td>\n",
       "      <td>-0.042346</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.035597</td>\n",
       "      <td>0.068068</td>\n",
       "      <td>0.009152</td>\n",
       "      <td>0.030802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>owner_Fourth &amp; Above Owner</th>\n",
       "      <td>-0.078725</td>\n",
       "      <td>0.097349</td>\n",
       "      <td>0.186361</td>\n",
       "      <td>-0.021054</td>\n",
       "      <td>-0.002094</td>\n",
       "      <td>0.013384</td>\n",
       "      <td>0.011502</td>\n",
       "      <td>0.072322</td>\n",
       "      <td>-0.021395</td>\n",
       "      <td>0.035597</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.080648</td>\n",
       "      <td>-0.008648</td>\n",
       "      <td>-0.037849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>owner_Second Owner</th>\n",
       "      <td>-0.161986</td>\n",
       "      <td>0.195203</td>\n",
       "      <td>0.292349</td>\n",
       "      <td>0.003524</td>\n",
       "      <td>0.025960</td>\n",
       "      <td>0.030141</td>\n",
       "      <td>-0.012717</td>\n",
       "      <td>0.186573</td>\n",
       "      <td>-0.076764</td>\n",
       "      <td>0.068068</td>\n",
       "      <td>-0.080648</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.036672</td>\n",
       "      <td>-0.160498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>owner_Test Drive Car</th>\n",
       "      <td>0.048799</td>\n",
       "      <td>-0.083445</td>\n",
       "      <td>-0.095795</td>\n",
       "      <td>-0.010575</td>\n",
       "      <td>-0.000952</td>\n",
       "      <td>-0.004577</td>\n",
       "      <td>0.012427</td>\n",
       "      <td>-0.107886</td>\n",
       "      <td>-0.009729</td>\n",
       "      <td>0.009152</td>\n",
       "      <td>-0.008648</td>\n",
       "      <td>-0.036672</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.017210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>owner_Third Owner</th>\n",
       "      <td>-0.111326</td>\n",
       "      <td>0.194713</td>\n",
       "      <td>0.244308</td>\n",
       "      <td>0.009373</td>\n",
       "      <td>-0.004166</td>\n",
       "      <td>0.004836</td>\n",
       "      <td>-0.008502</td>\n",
       "      <td>0.140823</td>\n",
       "      <td>-0.042578</td>\n",
       "      <td>0.030802</td>\n",
       "      <td>-0.037849</td>\n",
       "      <td>-0.160498</td>\n",
       "      <td>-0.017210</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              selling_price  km_driven   no_year  fuel_Diesel  \\\n",
       "selling_price                      1.000000  -0.192289 -0.413922     0.282947   \n",
       "km_driven                         -0.192289   1.000000  0.419688     0.285396   \n",
       "no_year                           -0.413922   0.419688  1.000000    -0.121424   \n",
       "fuel_Diesel                        0.282947   0.285396 -0.121424     1.000000   \n",
       "fuel_Electric                     -0.005095  -0.001372  0.025540    -0.015063   \n",
       "fuel_LPG                          -0.042434   0.036652  0.051266    -0.072422   \n",
       "fuel_Petrol                       -0.269453  -0.291139  0.114908    -0.970934   \n",
       "seller_type_Individual            -0.236798   0.182663  0.173703    -0.035314   \n",
       "seller_type_Trustmark Dealer       0.110176  -0.089858 -0.100225    -0.007911   \n",
       "transmission_Manual               -0.530205   0.120226  0.143800    -0.048098   \n",
       "owner_Fourth & Above Owner        -0.078725   0.097349  0.186361    -0.021054   \n",
       "owner_Second Owner                -0.161986   0.195203  0.292349     0.003524   \n",
       "owner_Test Drive Car               0.048799  -0.083445 -0.095795    -0.010575   \n",
       "owner_Third Owner                 -0.111326   0.194713  0.244308     0.009373   \n",
       "\n",
       "                              fuel_Electric  fuel_LPG  fuel_Petrol  \\\n",
       "selling_price                     -0.005095 -0.042434    -0.269453   \n",
       "km_driven                         -0.001372  0.036652    -0.291139   \n",
       "no_year                            0.025540  0.051266     0.114908   \n",
       "fuel_Diesel                       -0.015063 -0.072422    -0.970934   \n",
       "fuel_Electric                      1.000000 -0.001108    -0.014856   \n",
       "fuel_LPG                          -0.001108  1.000000    -0.071427   \n",
       "fuel_Petrol                       -0.014856 -0.071427     1.000000   \n",
       "seller_type_Individual            -0.026118  0.035122     0.029845   \n",
       "seller_type_Trustmark Dealer      -0.002355 -0.011324     0.012489   \n",
       "transmission_Manual               -0.044746  0.024764     0.039614   \n",
       "owner_Fourth & Above Owner        -0.002094  0.013384     0.011502   \n",
       "owner_Second Owner                 0.025960  0.030141    -0.012717   \n",
       "owner_Test Drive Car              -0.000952 -0.004577     0.012427   \n",
       "owner_Third Owner                 -0.004166  0.004836    -0.008502   \n",
       "\n",
       "                              seller_type_Individual  \\\n",
       "selling_price                              -0.236798   \n",
       "km_driven                                   0.182663   \n",
       "no_year                                     0.173703   \n",
       "fuel_Diesel                                -0.035314   \n",
       "fuel_Electric                              -0.026118   \n",
       "fuel_LPG                                    0.035122   \n",
       "fuel_Petrol                                 0.029845   \n",
       "seller_type_Individual                      1.000000   \n",
       "seller_type_Trustmark Dealer               -0.266904   \n",
       "transmission_Manual                         0.214163   \n",
       "owner_Fourth & Above Owner                  0.072322   \n",
       "owner_Second Owner                          0.186573   \n",
       "owner_Test Drive Car                       -0.107886   \n",
       "owner_Third Owner                           0.140823   \n",
       "\n",
       "                              seller_type_Trustmark Dealer  \\\n",
       "selling_price                                     0.110176   \n",
       "km_driven                                        -0.089858   \n",
       "no_year                                          -0.100225   \n",
       "fuel_Diesel                                      -0.007911   \n",
       "fuel_Electric                                    -0.002355   \n",
       "fuel_LPG                                         -0.011324   \n",
       "fuel_Petrol                                       0.012489   \n",
       "seller_type_Individual                           -0.266904   \n",
       "seller_type_Trustmark Dealer                      1.000000   \n",
       "transmission_Manual                              -0.042346   \n",
       "owner_Fourth & Above Owner                       -0.021395   \n",
       "owner_Second Owner                               -0.076764   \n",
       "owner_Test Drive Car                             -0.009729   \n",
       "owner_Third Owner                                -0.042578   \n",
       "\n",
       "                              transmission_Manual  owner_Fourth & Above Owner  \\\n",
       "selling_price                           -0.530205                   -0.078725   \n",
       "km_driven                                0.120226                    0.097349   \n",
       "no_year                                  0.143800                    0.186361   \n",
       "fuel_Diesel                             -0.048098                   -0.021054   \n",
       "fuel_Electric                           -0.044746                   -0.002094   \n",
       "fuel_LPG                                 0.024764                    0.013384   \n",
       "fuel_Petrol                              0.039614                    0.011502   \n",
       "seller_type_Individual                   0.214163                    0.072322   \n",
       "seller_type_Trustmark Dealer            -0.042346                   -0.021395   \n",
       "transmission_Manual                      1.000000                    0.035597   \n",
       "owner_Fourth & Above Owner               0.035597                    1.000000   \n",
       "owner_Second Owner                       0.068068                   -0.080648   \n",
       "owner_Test Drive Car                     0.009152                   -0.008648   \n",
       "owner_Third Owner                        0.030802                   -0.037849   \n",
       "\n",
       "                              owner_Second Owner  owner_Test Drive Car  \\\n",
       "selling_price                          -0.161986              0.048799   \n",
       "km_driven                               0.195203             -0.083445   \n",
       "no_year                                 0.292349             -0.095795   \n",
       "fuel_Diesel                             0.003524             -0.010575   \n",
       "fuel_Electric                           0.025960             -0.000952   \n",
       "fuel_LPG                                0.030141             -0.004577   \n",
       "fuel_Petrol                            -0.012717              0.012427   \n",
       "seller_type_Individual                  0.186573             -0.107886   \n",
       "seller_type_Trustmark Dealer           -0.076764             -0.009729   \n",
       "transmission_Manual                     0.068068              0.009152   \n",
       "owner_Fourth & Above Owner             -0.080648             -0.008648   \n",
       "owner_Second Owner                      1.000000             -0.036672   \n",
       "owner_Test Drive Car                   -0.036672              1.000000   \n",
       "owner_Third Owner                      -0.160498             -0.017210   \n",
       "\n",
       "                              owner_Third Owner  \n",
       "selling_price                         -0.111326  \n",
       "km_driven                              0.194713  \n",
       "no_year                                0.244308  \n",
       "fuel_Diesel                            0.009373  \n",
       "fuel_Electric                         -0.004166  \n",
       "fuel_LPG                               0.004836  \n",
       "fuel_Petrol                           -0.008502  \n",
       "seller_type_Individual                 0.140823  \n",
       "seller_type_Trustmark Dealer          -0.042578  \n",
       "transmission_Manual                    0.030802  \n",
       "owner_Fourth & Above Owner            -0.037849  \n",
       "owner_Second Owner                    -0.160498  \n",
       "owner_Test Drive Car                  -0.017210  \n",
       "owner_Third Owner                      1.000000  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_dataset.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d36a4c96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7f7d68af13d0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2520x2520 with 210 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(final_dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "04e8ca1b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corrmat=final_dataset.corr()\n",
    "top_corr_features=corrmat.index\n",
    "plt.figure(figsize=(20,20))\n",
    "g=sns.heatmap(final_dataset[top_corr_features].corr(),annot=True,cmap=\"RdYlGn\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "208427fa",
   "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>selling_price</th>\n",
       "      <th>km_driven</th>\n",
       "      <th>no_year</th>\n",
       "      <th>fuel_Diesel</th>\n",
       "      <th>fuel_Electric</th>\n",
       "      <th>fuel_LPG</th>\n",
       "      <th>fuel_Petrol</th>\n",
       "      <th>seller_type_Individual</th>\n",
       "      <th>seller_type_Trustmark Dealer</th>\n",
       "      <th>transmission_Manual</th>\n",
       "      <th>owner_Fourth &amp; Above Owner</th>\n",
       "      <th>owner_Second Owner</th>\n",
       "      <th>owner_Test Drive Car</th>\n",
       "      <th>owner_Third Owner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>60000</td>\n",
       "      <td>70000</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>135000</td>\n",
       "      <td>50000</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>600000</td>\n",
       "      <td>100000</td>\n",
       "      <td>10</td>\n",
       "      <td>1</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",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>250000</td>\n",
       "      <td>46000</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>450000</td>\n",
       "      <td>141000</td>\n",
       "      <td>8</td>\n",
       "      <td>1</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   selling_price  km_driven  no_year  fuel_Diesel  fuel_Electric  fuel_LPG  \\\n",
       "0          60000      70000       15            0              0         0   \n",
       "1         135000      50000       15            0              0         0   \n",
       "2         600000     100000       10            1              0         0   \n",
       "3         250000      46000        5            0              0         0   \n",
       "4         450000     141000        8            1              0         0   \n",
       "\n",
       "   fuel_Petrol  seller_type_Individual  seller_type_Trustmark Dealer  \\\n",
       "0            1                       1                             0   \n",
       "1            1                       1                             0   \n",
       "2            0                       1                             0   \n",
       "3            1                       1                             0   \n",
       "4            0                       1                             0   \n",
       "\n",
       "   transmission_Manual  owner_Fourth & Above Owner  owner_Second Owner  \\\n",
       "0                    1                           0                   0   \n",
       "1                    1                           0                   0   \n",
       "2                    1                           0                   0   \n",
       "3                    1                           0                   0   \n",
       "4                    1                           0                   1   \n",
       "\n",
       "   owner_Test Drive Car  owner_Third Owner  \n",
       "0                     0                  0  \n",
       "1                     0                  0  \n",
       "2                     0                  0  \n",
       "3                     0                  0  \n",
       "4                     0                  0  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "e893f3d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "##independent and dependent features\n",
    "X=final_dataset.iloc[:,1:]\n",
    "y=final_dataset.iloc[:,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "38073861",
   "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>km_driven</th>\n",
       "      <th>no_year</th>\n",
       "      <th>fuel_Diesel</th>\n",
       "      <th>fuel_Electric</th>\n",
       "      <th>fuel_LPG</th>\n",
       "      <th>fuel_Petrol</th>\n",
       "      <th>seller_type_Individual</th>\n",
       "      <th>seller_type_Trustmark Dealer</th>\n",
       "      <th>transmission_Manual</th>\n",
       "      <th>owner_Fourth &amp; Above Owner</th>\n",
       "      <th>owner_Second Owner</th>\n",
       "      <th>owner_Test Drive Car</th>\n",
       "      <th>owner_Third Owner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>70000</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>50000</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100000</td>\n",
       "      <td>10</td>\n",
       "      <td>1</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",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>46000</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>141000</td>\n",
       "      <td>8</td>\n",
       "      <td>1</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   km_driven  no_year  fuel_Diesel  fuel_Electric  fuel_LPG  fuel_Petrol  \\\n",
       "0      70000       15            0              0         0            1   \n",
       "1      50000       15            0              0         0            1   \n",
       "2     100000       10            1              0         0            0   \n",
       "3      46000        5            0              0         0            1   \n",
       "4     141000        8            1              0         0            0   \n",
       "\n",
       "   seller_type_Individual  seller_type_Trustmark Dealer  transmission_Manual  \\\n",
       "0                       1                             0                    1   \n",
       "1                       1                             0                    1   \n",
       "2                       1                             0                    1   \n",
       "3                       1                             0                    1   \n",
       "4                       1                             0                    1   \n",
       "\n",
       "   owner_Fourth & Above Owner  owner_Second Owner  owner_Test Drive Car  \\\n",
       "0                           0                   0                     0   \n",
       "1                           0                   0                     0   \n",
       "2                           0                   0                     0   \n",
       "3                           0                   0                     0   \n",
       "4                           0                   1                     0   \n",
       "\n",
       "   owner_Third Owner  \n",
       "0                  0  \n",
       "1                  0  \n",
       "2                  0  \n",
       "3                  0  \n",
       "4                  0  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "8d4e2d9c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     60000\n",
       "1    135000\n",
       "2    600000\n",
       "3    250000\n",
       "4    450000\n",
       "Name: selling_price, dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "c5c63ff1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ExtraTreesRegressor()"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### feature importance\n",
    "from sklearn.ensemble import ExtraTreesRegressor\n",
    "model=ExtraTreesRegressor()\n",
    "model.fit(X,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "19f055b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2.46299384e-01 2.49395630e-01 1.29286338e-01 3.93413607e-05\n",
      " 2.54993650e-05 2.00111778e-04 4.56742643e-02 8.29077879e-03\n",
      " 2.92831939e-01 9.52662063e-04 2.13705525e-02 7.83563193e-04\n",
      " 4.84993583e-03]\n"
     ]
    }
   ],
   "source": [
    "print(model.feature_importances_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "64fa7f16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "##plot graph of feature importance for better visualisation\n",
    "feat_importances = pd.Series(model.feature_importances_, index=X.columns)\n",
    "feat_importances.nlargest(5).plot(kind='barh')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "55a7d415",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "fdb42be7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3472, 13)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "raw",
   "id": "e01677c5",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "e3d31e79",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor\n",
    "rf_random=RandomForestRegressor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "775e9c53",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200]\n"
     ]
    }
   ],
   "source": [
    "n_estimators = [int(x) for x in np.linspace(start = 100, stop = 1200, num = 12)]\n",
    "print(n_estimators)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "c1ef2fc8",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import RandomizedSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "2cbcfaa8",
   "metadata": {},
   "outputs": [],
   "source": [
    " #Randomized Search CV\n",
    "    ##helps to find out best important features\n",
    "\n",
    "# Number of trees in random forest\n",
    "n_estimators = [int(x) for x in np.linspace(start = 100, stop = 1200, num = 12)]\n",
    "# Number of features to consider at every split\n",
    "max_features = ['auto', 'sqrt']\n",
    "# Maximum number of levels in tree\n",
    "max_depth = [int(x) for x in np.linspace(5, 30, num = 6)]\n",
    "# max_depth.append(None)\n",
    "# Minimum number of samples required to split a node\n",
    "min_samples_split = [2, 5, 10, 15, 100]\n",
    "# Minimum number of samples required at each leaf node\n",
    "min_samples_leaf = [1, 2, 5, 10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "b9302f13",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'n_estimators': [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200], 'max_features': ['auto', 'sqrt'], 'max_depth': [5, 10, 15, 20, 25, 30], 'min_samples_split': [2, 5, 10, 15, 100], 'min_samples_leaf': [1, 2, 5, 10]}\n"
     ]
    }
   ],
   "source": [
    "# Create the random grid\n",
    "random_grid = {'n_estimators': n_estimators,\n",
    "               'max_features': max_features,\n",
    "               'max_depth': max_depth,\n",
    "               'min_samples_split': min_samples_split,\n",
    "               'min_samples_leaf': min_samples_leaf}\n",
    "\n",
    "print(random_grid)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "2e42d2c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use the random grid to search for best hyperparameters\n",
    "# First create the base model to tune\n",
    "rf = RandomForestRegressor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "f2647ff3",
   "metadata": {},
   "outputs": [],
   "source": [
    "rf_random = RandomizedSearchCV(estimator = rf, param_distributions = random_grid,scoring='neg_mean_squared_error', n_iter = 10, cv = 5, verbose=2, random_state=42, n_jobs = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "d5b8c236",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 10 candidates, totalling 50 fits\n",
      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=5, min_samples_split=5, n_estimators=900; total time=   1.0s\n",
      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=5, min_samples_split=5, n_estimators=900; total time=   0.9s\n",
      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=5, min_samples_split=5, n_estimators=900; total time=   0.9s\n",
      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=5, min_samples_split=5, n_estimators=900; total time=   1.0s\n",
      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=5, min_samples_split=5, n_estimators=900; total time=   1.0s\n",
      "[CV] END max_depth=15, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100; total time=   1.4s\n",
      "[CV] END max_depth=15, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100; total time=   1.4s\n",
      "[CV] END max_depth=15, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100; total time=   1.4s\n",
      "[CV] END max_depth=15, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100; total time=   1.4s\n",
      "[CV] END max_depth=15, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1100; total time=   1.6s\n",
      "[CV] END max_depth=15, max_features=auto, min_samples_leaf=5, min_samples_split=100, n_estimators=300; total time=   0.5s\n",
      "[CV] END max_depth=15, max_features=auto, min_samples_leaf=5, min_samples_split=100, n_estimators=300; total time=   0.5s\n",
      "[CV] END max_depth=15, max_features=auto, min_samples_leaf=5, min_samples_split=100, n_estimators=300; total time=   0.5s\n",
      "[CV] END max_depth=15, max_features=auto, min_samples_leaf=5, min_samples_split=100, n_estimators=300; total time=   0.5s\n",
      "[CV] END max_depth=15, max_features=auto, min_samples_leaf=5, min_samples_split=100, n_estimators=300; total time=   0.5s\n",
      "[CV] END max_depth=15, max_features=auto, min_samples_leaf=5, min_samples_split=5, n_estimators=400; total time=   0.9s\n",
      "[CV] END max_depth=15, max_features=auto, min_samples_leaf=5, min_samples_split=5, n_estimators=400; total time=   0.9s\n",
      "[CV] END max_depth=15, max_features=auto, min_samples_leaf=5, min_samples_split=5, n_estimators=400; total time=   0.9s\n",
      "[CV] END max_depth=15, max_features=auto, min_samples_leaf=5, min_samples_split=5, n_estimators=400; total time=   0.9s\n",
      "[CV] END max_depth=15, max_features=auto, min_samples_leaf=5, min_samples_split=5, n_estimators=400; total time=   0.9s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=700; total time=   1.4s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=700; total time=   1.4s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=700; total time=   1.4s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=700; total time=   1.4s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=700; total time=   1.4s\n",
      "[CV] END max_depth=25, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   1.9s\n",
      "[CV] END max_depth=25, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   1.9s\n",
      "[CV] END max_depth=25, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   1.9s\n",
      "[CV] END max_depth=25, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   1.8s\n",
      "[CV] END max_depth=25, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   1.9s\n",
      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=15, n_estimators=1100; total time=   1.0s\n",
      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=15, n_estimators=1100; total time=   0.9s\n",
      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=15, n_estimators=1100; total time=   1.0s\n",
      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=15, n_estimators=1100; total time=   1.0s\n",
      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=15, n_estimators=1100; total time=   1.0s\n",
      "[CV] END max_depth=15, max_features=sqrt, min_samples_leaf=1, min_samples_split=15, n_estimators=300; total time=   0.4s\n",
      "[CV] END max_depth=15, max_features=sqrt, min_samples_leaf=1, min_samples_split=15, n_estimators=300; total time=   0.4s\n",
      "[CV] END max_depth=15, max_features=sqrt, min_samples_leaf=1, min_samples_split=15, n_estimators=300; total time=   0.4s\n",
      "[CV] END max_depth=15, max_features=sqrt, min_samples_leaf=1, min_samples_split=15, n_estimators=300; total time=   0.4s\n",
      "[CV] END max_depth=15, max_features=sqrt, min_samples_leaf=1, min_samples_split=15, n_estimators=300; total time=   0.4s\n",
      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=700; total time=   0.6s\n",
      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=700; total time=   0.6s\n",
      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=700; total time=   0.6s\n",
      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=700; total time=   0.6s\n",
      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=700; total time=   0.6s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=15, n_estimators=700; total time=   1.6s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=15, n_estimators=700; total time=   1.6s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=15, n_estimators=700; total time=   1.6s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=15, n_estimators=700; total time=   1.6s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=15, n_estimators=700; total time=   1.6s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "RandomizedSearchCV(cv=5, estimator=RandomForestRegressor(), n_jobs=1,\n",
       "                   param_distributions={'max_depth': [5, 10, 15, 20, 25, 30],\n",
       "                                        'max_features': ['auto', 'sqrt'],\n",
       "                                        'min_samples_leaf': [1, 2, 5, 10],\n",
       "                                        'min_samples_split': [2, 5, 10, 15,\n",
       "                                                              100],\n",
       "                                        'n_estimators': [100, 200, 300, 400,\n",
       "                                                         500, 600, 700, 800,\n",
       "                                                         900, 1000, 1100,\n",
       "                                                         1200]},\n",
       "                   random_state=42, scoring='neg_mean_squared_error',\n",
       "                   verbose=2)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rf_random.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "bab013ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions=rf_random.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "23df636c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        628163.25881507])"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "7e5ddd98",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/tribhuvan/opt/anaconda3/lib/python3.9/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='selling_price', ylabel='Density'>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(y_test-predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "8a445f92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f7d0b981f40>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(y_test,predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "6c039713",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "file=open('random_forest_regression_model.pkl','wb')\n",
    "pickle.dump(rf_random,file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "41c7715c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}