car_price_prediction.ipynb

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        "<a href=\"https://colab.research.google.com/github/SANA-FARHEEN-MOHAMMAD/oasis-infobyte/blob/main/car_price_prediction.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "NAME : MOHAMMAD SANA FARHEEN\n",
        "\n",
        "**CAR PRICE PREDICTION WITH MACHINE LEARNING**\n",
        "\n",
        "The price of a car depends on a lot of factors like the goodwill of the brand of the car,\n",
        "features of the car, horsepower and the mileage it gives and many more. Car price\n",
        "prediction is one of the major research areas in machine learning. So if you want to learn\n",
        "how to train a car price prediction model then this project is for you."
      ],
      "metadata": {
        "id": "zz45NKBk4dme"
      }
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          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import plotly.express as px\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.metrics import mean_squared_error, r2_score\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")\n",
        "df=pd.read_csv('/content/drive/MyDrive/car data.csv',encoding='latin-1')\n",
        "df.head()"
      ],
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          "height": 206
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        "id": "R2pH6nxgQuVM",
        "outputId": "1ff67c4a-4764-4f65-e753-57335085f096"
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      "execution_count": null,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "  Car_Name  Year  Selling_Price  Present_Price  Driven_kms Fuel_Type  \\\n",
              "0     ritz  2014           3.35           5.59       27000    Petrol   \n",
              "1      sx4  2013           4.75           9.54       43000    Diesel   \n",
              "2     ciaz  2017           7.25           9.85        6900    Petrol   \n",
              "3  wagon r  2011           2.85           4.15        5200    Petrol   \n",
              "4    swift  2014           4.60           6.87       42450    Diesel   \n",
              "\n",
              "  Selling_type Transmission  Owner  \n",
              "0       Dealer       Manual      0  \n",
              "1       Dealer       Manual      0  \n",
              "2       Dealer       Manual      0  \n",
              "3       Dealer       Manual      0  \n",
              "4       Dealer       Manual      0  "
            ],
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              "      <td>27000</td>\n",
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              "      <th>1</th>\n",
              "      <td>sx4</td>\n",
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              "    <tr>\n",
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              "      <td>wagon r</td>\n",
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              "      <td>2.85</td>\n",
              "      <td>4.15</td>\n",
              "      <td>5200</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>swift</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
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              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 301,\n  \"fields\": [\n    {\n      \"column\": \"Car_Name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 98,\n        \"samples\": [\n          \"Hero Passion Pro\",\n          \"Honda CB Hornet 160R\",\n          \"city\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Year\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 2003,\n        \"max\": 2018,\n        \"num_unique_values\": 16,\n        \"samples\": [\n          2014,\n          2013,\n          2015\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Selling_Price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.082811556177803,\n        \"min\": 0.1,\n        \"max\": 35.0,\n        \"num_unique_values\": 156,\n        \"samples\": [\n          0.4,\n          7.05,\n          0.9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Present_Price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8.642584359825474,\n        \"min\": 0.32,\n        \"max\": 92.6,\n        \"num_unique_values\": 148,\n        \"samples\": [\n          8.4,\n          36.23,\n          11.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Driven_kms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 38886,\n        \"min\": 500,\n        \"max\": 500000,\n        \"num_unique_values\": 206,\n        \"samples\": [\n          41678,\n          42367,\n          60076\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Fuel_Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Petrol\",\n          \"Diesel\",\n          \"CNG\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Selling_type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Individual\",\n          \"Dealer\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Transmission\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Automatic\",\n          \"Manual\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Owner\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 3,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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          "metadata": {},
          "execution_count": 33
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        "df.columns\n",
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            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 301 entries, 0 to 300\n",
            "Data columns (total 9 columns):\n",
            " #   Column         Non-Null Count  Dtype  \n",
            "---  ------         --------------  -----  \n",
            " 0   Car_Name       301 non-null    object \n",
            " 1   Year           301 non-null    int64  \n",
            " 2   Selling_Price  301 non-null    float64\n",
            " 3   Present_Price  301 non-null    float64\n",
            " 4   Driven_kms     301 non-null    int64  \n",
            " 5   Fuel_Type      301 non-null    object \n",
            " 6   Selling_type   301 non-null    object \n",
            " 7   Transmission   301 non-null    object \n",
            " 8   Owner          301 non-null    int64  \n",
            "dtypes: float64(2), int64(3), object(4)\n",
            "memory usage: 21.3+ KB\n"
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              "#T_04e1e_row0_col1, #T_04e1e_row0_col2, #T_04e1e_row0_col4, #T_04e1e_row1_col0, #T_04e1e_row4_col0, #T_04e1e_row5_col0, #T_04e1e_row6_col0, #T_04e1e_row7_col0, #T_04e1e_row7_col3 {\n",
              "  background-color: #053061;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row0_col3, #T_04e1e_row1_col4, #T_04e1e_row2_col0, #T_04e1e_row2_col4, #T_04e1e_row3_col1, #T_04e1e_row3_col2, #T_04e1e_row3_col3, #T_04e1e_row3_col4, #T_04e1e_row4_col1, #T_04e1e_row4_col2, #T_04e1e_row4_col4, #T_04e1e_row5_col4, #T_04e1e_row6_col4 {\n",
              "  background-color: #67001f;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row1_col1 {\n",
              "  background-color: #700320;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row1_col2 {\n",
              "  background-color: #790622;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row1_col3 {\n",
              "  background-color: #9c1127;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row2_col1 {\n",
              "  background-color: #730421;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row2_col2, #T_04e1e_row4_col3 {\n",
              "  background-color: #7c0722;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row2_col3 {\n",
              "  background-color: #9f1228;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row3_col0 {\n",
              "  background-color: #063264;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row5_col1, #T_04e1e_row7_col4 {\n",
              "  background-color: #6d0220;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row5_col2, #T_04e1e_row6_col1 {\n",
              "  background-color: #760521;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row5_col3 {\n",
              "  background-color: #960f27;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row6_col2 {\n",
              "  background-color: #7f0823;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row6_col3 {\n",
              "  background-color: #ae172a;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row7_col1 {\n",
              "  background-color: #b72230;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_04e1e_row7_col2 {\n",
              "  background-color: #f5a886;\n",
              "  color: #000000;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_04e1e\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_04e1e_level0_col0\" class=\"col_heading level0 col0\" >Year</th>\n",
              "      <th id=\"T_04e1e_level0_col1\" class=\"col_heading level0 col1\" >Selling_Price</th>\n",
              "      <th id=\"T_04e1e_level0_col2\" class=\"col_heading level0 col2\" >Present_Price</th>\n",
              "      <th id=\"T_04e1e_level0_col3\" class=\"col_heading level0 col3\" >Driven_kms</th>\n",
              "      <th id=\"T_04e1e_level0_col4\" class=\"col_heading level0 col4\" >Owner</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_04e1e_level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
              "      <td id=\"T_04e1e_row0_col0\" class=\"data row0 col0\" >301.00</td>\n",
              "      <td id=\"T_04e1e_row0_col1\" class=\"data row0 col1\" >301.00</td>\n",
              "      <td id=\"T_04e1e_row0_col2\" class=\"data row0 col2\" >301.00</td>\n",
              "      <td id=\"T_04e1e_row0_col3\" class=\"data row0 col3\" >301.00</td>\n",
              "      <td id=\"T_04e1e_row0_col4\" class=\"data row0 col4\" >301.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_04e1e_level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
              "      <td id=\"T_04e1e_row1_col0\" class=\"data row1 col0\" >2013.63</td>\n",
              "      <td id=\"T_04e1e_row1_col1\" class=\"data row1 col1\" >4.66</td>\n",
              "      <td id=\"T_04e1e_row1_col2\" class=\"data row1 col2\" >7.63</td>\n",
              "      <td id=\"T_04e1e_row1_col3\" class=\"data row1 col3\" >36947.21</td>\n",
              "      <td id=\"T_04e1e_row1_col4\" class=\"data row1 col4\" >0.04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_04e1e_level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
              "      <td id=\"T_04e1e_row2_col0\" class=\"data row2 col0\" >2.89</td>\n",
              "      <td id=\"T_04e1e_row2_col1\" class=\"data row2 col1\" >5.08</td>\n",
              "      <td id=\"T_04e1e_row2_col2\" class=\"data row2 col2\" >8.64</td>\n",
              "      <td id=\"T_04e1e_row2_col3\" class=\"data row2 col3\" >38886.88</td>\n",
              "      <td id=\"T_04e1e_row2_col4\" class=\"data row2 col4\" >0.25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_04e1e_level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
              "      <td id=\"T_04e1e_row3_col0\" class=\"data row3 col0\" >2003.00</td>\n",
              "      <td id=\"T_04e1e_row3_col1\" class=\"data row3 col1\" >0.10</td>\n",
              "      <td id=\"T_04e1e_row3_col2\" class=\"data row3 col2\" >0.32</td>\n",
              "      <td id=\"T_04e1e_row3_col3\" class=\"data row3 col3\" >500.00</td>\n",
              "      <td id=\"T_04e1e_row3_col4\" class=\"data row3 col4\" >0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_04e1e_level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
              "      <td id=\"T_04e1e_row4_col0\" class=\"data row4 col0\" >2012.00</td>\n",
              "      <td id=\"T_04e1e_row4_col1\" class=\"data row4 col1\" >0.90</td>\n",
              "      <td id=\"T_04e1e_row4_col2\" class=\"data row4 col2\" >1.20</td>\n",
              "      <td id=\"T_04e1e_row4_col3\" class=\"data row4 col3\" >15000.00</td>\n",
              "      <td id=\"T_04e1e_row4_col4\" class=\"data row4 col4\" >0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_04e1e_level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
              "      <td id=\"T_04e1e_row5_col0\" class=\"data row5 col0\" >2014.00</td>\n",
              "      <td id=\"T_04e1e_row5_col1\" class=\"data row5 col1\" >3.60</td>\n",
              "      <td id=\"T_04e1e_row5_col2\" class=\"data row5 col2\" >6.40</td>\n",
              "      <td id=\"T_04e1e_row5_col3\" class=\"data row5 col3\" >32000.00</td>\n",
              "      <td id=\"T_04e1e_row5_col4\" class=\"data row5 col4\" >0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_04e1e_level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
              "      <td id=\"T_04e1e_row6_col0\" class=\"data row6 col0\" >2016.00</td>\n",
              "      <td id=\"T_04e1e_row6_col1\" class=\"data row6 col1\" >6.00</td>\n",
              "      <td id=\"T_04e1e_row6_col2\" class=\"data row6 col2\" >9.90</td>\n",
              "      <td id=\"T_04e1e_row6_col3\" class=\"data row6 col3\" >48767.00</td>\n",
              "      <td id=\"T_04e1e_row6_col4\" class=\"data row6 col4\" >0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_04e1e_level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
              "      <td id=\"T_04e1e_row7_col0\" class=\"data row7 col0\" >2018.00</td>\n",
              "      <td id=\"T_04e1e_row7_col1\" class=\"data row7 col1\" >35.00</td>\n",
              "      <td id=\"T_04e1e_row7_col2\" class=\"data row7 col2\" >92.60</td>\n",
              "      <td id=\"T_04e1e_row7_col3\" class=\"data row7 col3\" >500000.00</td>\n",
              "      <td id=\"T_04e1e_row7_col4\" class=\"data row7 col4\" >3.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = df.drop_duplicates()\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.boxplot(df['Selling_Price'],palette='pastel')\n",
        "plt.title('Boxplot of Selling Price')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 526
        },
        "id": "E3t7FgBQ1w99",
        "outputId": "574ab44b-0485-4101-cd9b-eb9de439b7e9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "numerical_columns = ['Year', 'Selling_Price', 'Present_Price', 'Driven_kms', 'Owner']\n",
        "numerical_df = df[numerical_columns]\n",
        "correlation_matrix = numerical_df.corr()\n",
        "# Create a heatmap\n",
        "plt.figure(figsize=(10, 8))\n",
        "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n",
        "plt.title('Correlation Heatmap (Numerical Columns)')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 699
        },
        "id": "VjaRLKhV2LV8",
        "outputId": "c332c66c-0c10-483b-9eab-0f7d0e5bdb91"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "numerical_features = ['Year', 'Driven_kms', 'Selling_Price', 'Present_Price']\n",
        "for feature in numerical_features:\n",
        "    plt.figure(figsize=(10, 6))\n",
        "    sns.displot(data=df, x=feature, kde=True)\n",
        "    plt.title(f'Distribution of {feature}')\n",
        "    plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "e54T8Vrs2ZEn",
        "outputId": "737ff2e2-ce47-4c2b-c5d3-234df246ad8c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 0 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 0 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 0 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 0 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8, 6))\n",
        "sns.scatterplot(x='Driven_kms', y='Selling_Price', data=df)\n",
        "plt.title('Relationship between Driven_kms and Selling_Price')\n",
        "plt.show()\n",
        "\n",
        "plt.figure(figsize=(8, 6))\n",
        "sns.scatterplot(x='Present_Price', y='Selling_Price', data=df)\n",
        "plt.title('Relationship between Present_Price and Selling_Price')\n",
        "plt.xlabel('Present Price')\n",
        "plt.ylabel('Selling Price')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "WZocP3Mq2bTU",
        "outputId": "9ba030e5-6f5f-4643-edb4-7b47469a819d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "colors = sns.color_palette(\"Set2\")\n",
        "categorical_features = ['Fuel_Type', 'Selling_type', 'Transmission', 'Owner']\n",
        "# Plot each categorical feature for feature in categorical_features:\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.countplot(x=feature, data=df, palette=colors)\n",
        "plt.title(f'Frequency of {feature}', fontsize=16, color='darkblue', fontweight='bold')\n",
        "plt.xlabel(f'{feature}', fontsize=14, color='navy')\n",
        "plt.ylabel('Frequency', fontsize=14, color='navy')\n",
        "plt.xticks(fontsize=12, rotation=45)\n",
        "plt.yticks(fontsize=12)\n",
        "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 605
        },
        "id": "hhqB6h_42jQi",
        "outputId": "5c0021b2-ef9f-44e8-9337-7185c7046273"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "avg_prices_by_car = df.groupby('Car_Name')['Selling_Price'].mean().sort_values(ascending=False)\n",
        "# Plot top N car models by average price\n",
        "n = 20  # Number of top car models to plot\n",
        "top_car_models = avg_prices_by_car.head(n)\n",
        "\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.barplot(x=top_car_models.values, y=top_car_models.index,palette='winter')\n",
        "plt.title(f'Top {n} Car Models by Average Price')\n",
        "plt.xlabel('Average Price')\n",
        "plt.ylabel('Car Model')\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "F0xri2yV3TN0",
        "outputId": "78b5dc00-10a6-4129-db8a-148d64a59200"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# encoding \"Fuel_Type\" Column\n",
        "df.replace({'Fuel_Type':{'Petrol':0,'Diesel':1,'CNG':2}},inplace=True)\n",
        "# encoding \"Seller_Type\" Column\n",
        "df.replace({'Selling_type':{'Dealer':0,'Individual':1}},inplace=True)\n",
        "# encoding \"Transmission\" Column\n",
        "df.replace({'Transmission':{'Manual':0,'Automatic':1}},inplace=True)\n",
        "X = df.drop(['Car_Name','Selling_Price'],axis=1)\n",
        "Y = df['Selling_Price']\n",
        "X"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "ZrjdQeZZ3iEx",
        "outputId": "a6dacca0-f8ce-4146-eed5-a61bf92bbc58"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Year  Present_Price  Driven_kms  Fuel_Type  Selling_type  Transmission  \\\n",
              "0    2014           5.59       27000          0             0             0   \n",
              "1    2013           9.54       43000          1             0             0   \n",
              "2    2017           9.85        6900          0             0             0   \n",
              "3    2011           4.15        5200          0             0             0   \n",
              "4    2014           6.87       42450          1             0             0   \n",
              "..    ...            ...         ...        ...           ...           ...   \n",
              "296  2016          11.60       33988          1             0             0   \n",
              "297  2015           5.90       60000          0             0             0   \n",
              "298  2009          11.00       87934          0             0             0   \n",
              "299  2017          12.50        9000          1             0             0   \n",
              "300  2016           5.90        5464          0             0             0   \n",
              "\n",
              "     Owner  \n",
              "0        0  \n",
              "1        0  \n",
              "2        0  \n",
              "3        0  \n",
              "4        0  \n",
              "..     ...  \n",
              "296      0  \n",
              "297      0  \n",
              "298      0  \n",
              "299      0  \n",
              "300      0  \n",
              "\n",
              "[299 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-bd0865a2-ae82-4456-b9bd-3cd4a6a4c741\" class=\"colab-df-container\">\n",
              "    <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>Year</th>\n",
              "      <th>Present_Price</th>\n",
              "      <th>Driven_kms</th>\n",
              "      <th>Fuel_Type</th>\n",
              "      <th>Selling_type</th>\n",
              "      <th>Transmission</th>\n",
              "      <th>Owner</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2014</td>\n",
              "      <td>5.59</td>\n",
              "      <td>27000</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>2013</td>\n",
              "      <td>9.54</td>\n",
              "      <td>43000</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2017</td>\n",
              "      <td>9.85</td>\n",
              "      <td>6900</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>2011</td>\n",
              "      <td>4.15</td>\n",
              "      <td>5200</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>2014</td>\n",
              "      <td>6.87</td>\n",
              "      <td>42450</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>296</th>\n",
              "      <td>2016</td>\n",
              "      <td>11.60</td>\n",
              "      <td>33988</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>297</th>\n",
              "      <td>2015</td>\n",
              "      <td>5.90</td>\n",
              "      <td>60000</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>298</th>\n",
              "      <td>2009</td>\n",
              "      <td>11.00</td>\n",
              "      <td>87934</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>299</th>\n",
              "      <td>2017</td>\n",
              "      <td>12.50</td>\n",
              "      <td>9000</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>300</th>\n",
              "      <td>2016</td>\n",
              "      <td>5.90</td>\n",
              "      <td>5464</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>299 rows × 7 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bd0865a2-ae82-4456-b9bd-3cd4a6a4c741')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-bd0865a2-ae82-4456-b9bd-3cd4a6a4c741 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-bd0865a2-ae82-4456-b9bd-3cd4a6a4c741');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-019926c6-c35f-4fde-914a-ee8ed00ec3e3\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-019926c6-c35f-4fde-914a-ee8ed00ec3e3')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-019926c6-c35f-4fde-914a-ee8ed00ec3e3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_7e693b00-e2eb-4c4d-8835-5cd82ab6759f\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('X')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_7e693b00-e2eb-4c4d-8835-5cd82ab6759f button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('X');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "X",
              "summary": "{\n  \"name\": \"X\",\n  \"rows\": 299,\n  \"fields\": [\n    {\n      \"column\": \"Year\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 2003,\n        \"max\": 2018,\n        \"num_unique_values\": 16,\n        \"samples\": [\n          2014,\n          2013,\n          2015\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Present_Price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8.566331708981764,\n        \"min\": 0.32,\n        \"max\": 92.6,\n        \"num_unique_values\": 148,\n        \"samples\": [\n          8.4,\n          36.23,\n          11.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Driven_kms\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 39015,\n        \"min\": 500,\n        \"max\": 500000,\n        \"num_unique_values\": 206,\n        \"samples\": [\n          41678,\n          42367,\n          60076\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Fuel_Type\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 2,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0,\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Selling_type\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Transmission\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Owner\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 3,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Split the data into training and testing sets\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.2, random_state=42)\n",
        "# Train the linear regression model\n",
        "model = LinearRegression()\n",
        "model.fit(X_train, y_train)\n",
        "# Evaluate the model\n",
        "y_pred = model.predict(X_test)\n",
        "mse = mean_squared_error(y_test, y_pred)\n",
        "r2 = r2_score(y_test, y_pred)\n",
        "print('Mean Squared Error:', mse)\n",
        "print('R-squared:', r2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_QvmXyGs3kUK",
        "outputId": "9819ee4e-d8aa-489c-fcd4-a6ea0e80791b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mean Squared Error: 6.675444100493416\n",
            "R-squared: 0.7409934356413092\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Make predictions\n",
        "new_car = [[2022, 20000, 0, 1, 1, 0, 0]]  # Example new car data\n",
        "predicted_price = model.predict(new_car)\n",
        "print('Predicted Selling Price:', predicted_price[0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dDNKVWyJ4Srd",
        "outputId": "1007ae0e-600c-48b6-b76f-04131bbdf7a6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted Selling Price: 8829.49338250246\n"
          ]
        }
      ]
    }
  ]
}