mattbullen · October 16, 2025 11:51
diff --git a/group-2-project-code.ipynb b/group-2-project-code.ipynb
 {
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/mattbullen/3ab11dae244b3aa5be82db360caf08a5/group-2-project-code.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "6d00b730",
      "metadata": {
        "id": "6d00b730"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a6459dcd",
      "metadata": {
        "id": "a6459dcd"
      },
      "outputs": [],
      "source": [
        "# Step 1: Load the dataset\n",
        "df = pd.read_csv('AB_NYC_2019.csv')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "ec02270f",
      "metadata": {
        "id": "ec02270f",
        "outputId": "db3aa28e-dc3f-4174-f67c-f34a744e1e27",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Data shape: (48895, 16)\n"
          ]
        }
      ],
      "source": [
        "# Step 2: Initial exploration\n",
        "print(\"Data shape:\", df.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "f0386824",
      "metadata": {
        "id": "f0386824",
        "outputId": "01fe88b7-3df3-4308-8eed-11c0ad18f178",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 48895 entries, 0 to 48894\n",
            "Data columns (total 16 columns):\n",
            " #   Column                          Non-Null Count  Dtype  \n",
            "---  ------                          --------------  -----  \n",
            " 0   id                              48895 non-null  int64  \n",
            " 1   name                            48879 non-null  object \n",
            " 2   host_id                         48895 non-null  int64  \n",
            " 3   host_name                       48874 non-null  object \n",
            " 4   neighbourhood_group             48895 non-null  object \n",
            " 5   neighbourhood                   48895 non-null  object \n",
            " 6   latitude                        48895 non-null  float64\n",
            " 7   longitude                       48895 non-null  float64\n",
            " 8   room_type                       48895 non-null  object \n",
            " 9   price                           48895 non-null  int64  \n",
            " 10  minimum_nights                  48895 non-null  int64  \n",
            " 11  number_of_reviews               48895 non-null  int64  \n",
            " 12  last_review                     38843 non-null  object \n",
            " 13  reviews_per_month               38843 non-null  float64\n",
            " 14  calculated_host_listings_count  48895 non-null  int64  \n",
            " 15  availability_365                48895 non-null  int64  \n",
            "dtypes: float64(3), int64(7), object(6)\n",
            "memory usage: 6.0+ MB\n",
            "None\n"
          ]
        }
      ],
      "source": [
        "print(df.info())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "018cd3d9",
      "metadata": {
        "id": "018cd3d9",
        "outputId": "85e22010-494e-4103-c0a4-7d2f19f7fa04",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                 id       host_id      latitude     longitude         price  \\\n",
            "count  4.889500e+04  4.889500e+04  48895.000000  48895.000000  48895.000000   \n",
            "mean   1.901714e+07  6.762001e+07     40.728949    -73.952170    152.720687   \n",
            "std    1.098311e+07  7.861097e+07      0.054530      0.046157    240.154170   \n",
            "min    2.539000e+03  2.438000e+03     40.499790    -74.244420      0.000000   \n",
            "25%    9.471945e+06  7.822033e+06     40.690100    -73.983070     69.000000   \n",
            "50%    1.967728e+07  3.079382e+07     40.723070    -73.955680    106.000000   \n",
            "75%    2.915218e+07  1.074344e+08     40.763115    -73.936275    175.000000   \n",
            "max    3.648724e+07  2.743213e+08     40.913060    -73.712990  10000.000000   \n",
            "\n",
            "       minimum_nights  number_of_reviews  reviews_per_month  \\\n",
            "count    48895.000000       48895.000000       38843.000000   \n",
            "mean         7.029962          23.274466           1.373221   \n",
            "std         20.510550          44.550582           1.680442   \n",
            "min          1.000000           0.000000           0.010000   \n",
            "25%          1.000000           1.000000           0.190000   \n",
            "50%          3.000000           5.000000           0.720000   \n",
            "75%          5.000000          24.000000           2.020000   \n",
            "max       1250.000000         629.000000          58.500000   \n",
            "\n",
            "       calculated_host_listings_count  availability_365  \n",
            "count                    48895.000000      48895.000000  \n",
            "mean                         7.143982        112.781327  \n",
            "std                         32.952519        131.622289  \n",
            "min                          1.000000          0.000000  \n",
            "25%                          1.000000          0.000000  \n",
            "50%                          1.000000         45.000000  \n",
            "75%                          2.000000        227.000000  \n",
            "max                        327.000000        365.000000  \n"
          ]
        }
      ],
      "source": [
        "# @title\n",
        "print(df.describe())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c0646a20",
      "metadata": {
        "id": "c0646a20",
        "outputId": "6c26d052-ffbf-44a9-a5ea-ef0baa8fa09a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Missing values per column:\n"
          ]
        }
      ],
      "source": [
        "# Step 3: Check missing values\n",
        "print(\"\\nMissing values per column:\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "6231c965",
      "metadata": {
        "id": "6231c965",
        "outputId": "a94e902e-8a65-4f00-ac12-393c8170cc58",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "id                                    0\n",
            "name                                 16\n",
            "host_id                               0\n",
            "host_name                            21\n",
            "neighbourhood_group                   0\n",
            "neighbourhood                         0\n",
            "latitude                              0\n",
            "longitude                             0\n",
            "room_type                             0\n",
            "price                                 0\n",
            "minimum_nights                        0\n",
            "number_of_reviews                     0\n",
            "last_review                       10052\n",
            "reviews_per_month                 10052\n",
            "calculated_host_listings_count        0\n",
            "availability_365                      0\n",
            "dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print(df.isnull().sum())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "0255e67d",
      "metadata": {
        "id": "0255e67d"
      },
      "outputs": [],
      "source": [
        "# Step 4: Handle missing values\n",
        "# 'reviews_per_month' missing means no reviews, fill with 0\n",
        "df['reviews_per_month'] = df['reviews_per_month'].fillna(0)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a86e6c33",
      "metadata": {
        "id": "a86e6c33"
      },
      "outputs": [],
      "source": [
        "# 'last_review' missing can be left as is or converted to datetime with NaT\n",
        "df['last_review'] = pd.to_datetime(df['last_review'], errors='coerce')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a0df3a06",
      "metadata": {
        "id": "a0df3a06"
      },
      "outputs": [],
      "source": [
        "# Step 5: Remove listings with price <= 0 (invalid or free)\n",
        "df = df[df['price'] > 0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c4cf0144",
      "metadata": {
        "id": "c4cf0144",
        "outputId": "d558eb22-670b-43a0-e8bb-7c38da18f159",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Data after cleaning:\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Index: 48884 entries, 0 to 48894\n",
            "Data columns (total 16 columns):\n",
            " #   Column                          Non-Null Count  Dtype         \n",
            "---  ------                          --------------  -----         \n",
            " 0   id                              48884 non-null  int64         \n",
            " 1   name                            48868 non-null  object        \n",
            " 2   host_id                         48884 non-null  int64         \n",
            " 3   host_name                       48863 non-null  object        \n",
            " 4   neighbourhood_group             48884 non-null  object        \n",
            " 5   neighbourhood                   48884 non-null  object        \n",
            " 6   latitude                        48884 non-null  float64       \n",
            " 7   longitude                       48884 non-null  float64       \n",
            " 8   room_type                       48884 non-null  object        \n",
            " 9   price                           48884 non-null  int64         \n",
            " 10  minimum_nights                  48884 non-null  int64         \n",
            " 11  number_of_reviews               48884 non-null  int64         \n",
            " 12  last_review                     38833 non-null  datetime64[ns]\n",
            " 13  reviews_per_month               48884 non-null  float64       \n",
            " 14  calculated_host_listings_count  48884 non-null  int64         \n",
            " 15  availability_365                48884 non-null  int64         \n",
            "dtypes: datetime64[ns](1), float64(3), int64(7), object(5)\n",
            "memory usage: 6.3+ MB\n",
            "None\n"
          ]
        }
      ],
      "source": [
        "# Step 6: Final check\n",
        "print(\"\\nData after cleaning:\")\n",
        "print(df.info())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "616cf35c",
      "metadata": {
        "id": "616cf35c",
        "outputId": "e4dd59fa-da4c-4b82-a55e-8bb99c642971",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                 id       host_id      latitude     longitude         price  \\\n",
            "count  4.888400e+04  4.888400e+04  48884.000000  48884.000000  48884.000000   \n",
            "mean   1.901679e+07  6.762203e+07     40.728953    -73.952176    152.755053   \n",
            "min    2.539000e+03  2.438000e+03     40.499790    -74.244420     10.000000   \n",
            "25%    9.470548e+06  7.817310e+06     40.690100    -73.983080     69.000000   \n",
            "50%    1.967574e+07  3.079257e+07     40.723080    -73.955685    106.000000   \n",
            "75%    2.915297e+07  1.074344e+08     40.763120    -73.936290    175.000000   \n",
            "max    3.648724e+07  2.743213e+08     40.913060    -73.712990  10000.000000   \n",
            "std    1.098432e+07  7.861666e+07      0.054532      0.046159    240.170260   \n",
            "\n",
            "       minimum_nights  number_of_reviews                    last_review  \\\n",
            "count    48884.000000       48884.000000                          38833   \n",
            "mean         7.029887          23.271991  2018-10-04 01:15:09.896222208   \n",
            "min          1.000000           0.000000            2011-03-28 00:00:00   \n",
            "25%          1.000000           1.000000            2018-07-08 00:00:00   \n",
            "50%          3.000000           5.000000            2019-05-19 00:00:00   \n",
            "75%          5.000000          24.000000            2019-06-23 00:00:00   \n",
            "max       1250.000000         629.000000            2019-07-08 00:00:00   \n",
            "std         20.512224          44.551331                            NaN   \n",
            "\n",
            "       reviews_per_month  calculated_host_listings_count  availability_365  \n",
            "count       48884.000000                    48884.000000      48884.000000  \n",
            "mean            1.090800                        7.144628        112.779498  \n",
            "min             0.000000                        1.000000          0.000000  \n",
            "25%             0.040000                        1.000000          0.000000  \n",
            "50%             0.370000                        1.000000         45.000000  \n",
            "75%             1.580000                        2.000000        227.000000  \n",
            "max            58.500000                      327.000000        365.000000  \n",
            "std             1.597213                       32.956185        131.627271  \n"
          ]
        }
      ],
      "source": [
        "print(df.describe())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "75e44a29",
      "metadata": {
        "id": "75e44a29"
      },
      "outputs": [],
      "source": [
        "# Set up\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "2e2cee04",
      "metadata": {
        "id": "2e2cee04"
      },
      "outputs": [],
      "source": [
        "# Set seaborn style for nicer plots\n",
        "sns.set(style='whitegrid')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "1e69b0f2",
      "metadata": {
        "id": "1e69b0f2",
        "outputId": "37da76bb-e632-4ab4-9801-cc389b6afb16",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Price distribution overall and by room type\n",
        "plt.figure(figsize=(12,6))\n",
        "sns.histplot(df['price'], bins=50, kde=True)\n",
        "plt.title('Distribution of Airbnb Prices')\n",
        "plt.xlabel('Price ($)')\n",
        "plt.ylabel('Number of Listings')\n",
        "plt.xlim(0, 1000)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a090b53b",
      "metadata": {
        "id": "a090b53b",
        "outputId": "049d0cb8-cbdb-490d-fb13-31c948f3ec96",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Price by room type boxplot\n",
        "plt.figure(figsize=(12,6))\n",
        "sns.boxplot(x='room_type', y='price', data=df)\n",
        "plt.title('Price Distribution by Room Type')\n",
        "plt.ylim(0, 500)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "0b154332",
      "metadata": {
        "id": "0b154332",
        "outputId": "c377b8cc-4072-46a1-904c-18dc83c54973",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 496
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# number of listings by neighborhood group\n",
        "plt.figure(figsize=(8,5))\n",
        "sns.countplot(x='neighbourhood_group', data=df)\n",
        "plt.title('Number of Listings by Borough')\n",
        "plt.xlabel('Borough')\n",
        "plt.ylabel('Count of Listings')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "38f2e176",
      "metadata": {
        "id": "38f2e176",
        "outputId": "c0b2995f-0459-48b3-97a0-e5ecc7d1c437",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 496
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Average price by neighborhood group\n",
        "avg_price = df.groupby('neighbourhood_group')['price'].mean().reset_index()\n",
        "\n",
        "plt.figure(figsize=(8,5))\n",
        "sns.barplot(x='neighbourhood_group', y='price', data=avg_price)\n",
        "plt.title('Average Price by Borough')\n",
        "plt.ylabel('Average Price ($)')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "670f3388",
      "metadata": {
        "id": "670f3388",
        "outputId": "7ce8b4ee-af7a-4181-a923-941b0cb971b3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Demand Trends: Reviews & Availability\n",
        "# Scatter plot reviews_per_month vs price\n",
        "plt.figure(figsize=(10,6))\n",
        "sns.scatterplot(x='reviews_per_month', y='price', data=df, alpha=0.3)\n",
        "plt.title('Price vs Reviews per Month')\n",
        "plt.xlabel('Reviews per Month')\n",
        "plt.ylabel('Price ($)')\n",
        "plt.ylim(0, 500)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "69c58a2b",
      "metadata": {
        "id": "69c58a2b",
        "outputId": "8dc8e8ce-5778-4157-ccb1-1abe19c3e270",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Availability distribution\n",
        "plt.figure(figsize=(10,6))\n",
        "sns.histplot(df['availability_365'], bins=50)\n",
        "plt.title('Availability in Days per Year')\n",
        "plt.xlabel('Days Available in Last 365 Days')\n",
        "plt.ylabel('Number of Listings')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a3e04f4e",
      "metadata": {
        "id": "a3e04f4e",
        "outputId": "9f859bba-9301-47aa-ef6d-c13befa2460b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 0 Axes>"
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "#Correlation Heatmap of Numeric Features\n",
        "plt.figure(figsize=(10,8))\n",
        "numeric_features = ['price', 'minimum_nights', 'number_of_reviews', 'reviews_per_month', 'calculated_host_listings_count', 'availability_365']\n",
        "corr = df[numeric_features].corr()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "b49bea4c",
      "metadata": {
        "id": "b49bea4c",
        "outputId": "e116c56a-8431-497d-85c3-2daac9cbd772",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 674
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sns.heatmap(corr, annot=True, cmap='coolwarm', fmt='.2f')\n",
        "plt.title('Correlation Heatmap of Numeric Features')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "89ff6285",
      "metadata": {
        "id": "89ff6285",
        "outputId": "5eeaab87-448a-46ae-81b0-13a7978da58b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 920
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "numeric_features = ['price', 'minimum_nights', 'number_of_reviews', 'reviews_per_month', 'calculated_host_listings_count', 'availability_365']\n",
        "corr = df[numeric_features].corr()\n",
        "\n",
        "sns.heatmap(corr, annot=True, cmap='coolwarm', fmt='.2f')\n",
        "plt.title('Correlation Heatmap of Numeric Features')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "g3wgn-a2NCc0"
      },
      "id": "g3wgn-a2NCc0",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        " 1. Price Distribution Overall\n",
        " The histogram usually shows a right-skewed distribution with many listings at lower prices and a long tail of expensive listings.\n",
        "\n",
        " Most listings cluster around lower to mid-range prices (e.g., $50-$200).\n",
        "\n",
        " The long tail of high prices can affect regression models, so trimming outliers is justified.\n",
        "\n",
        " 2. Price by Room Type\n",
        " Entire homes/apartments tend to have higher prices compared to private or shared rooms.\n",
        " Private rooms are generally cheaper, appealing to budget-conscious travelers.Shared rooms typically show the lowest price points. This suggests room_type is an important predictor for price.\n",
        "\n",
        "3. Number of Listings by Borough (Neighbourhood Group)\n",
        "Boroughs like Manhattan and Brooklyn usually dominate in listing counts.\n",
        "Fewer listings appear in boroughs like Staten Island.\n",
        "This impacts demand and supply dynamics and can influence pricing.\n",
        "\n",
        "4. Average Price by Borough\n",
        "Expect Manhattan to have the highest average prices due to demand and location. Other boroughs typically have lower average prices. This confirms borough is an important geographic feature for price prediction.\n",
        "\n",
        "5. Price vs Reviews per Month\n",
        "Generally, no strong direct correlation, but listings with high reviews per month might indicate high demand.Some very cheap or very expensive listings might have low reviews, showing mixed demand signals. Reviews per month can serve as a proxy for popularity or demand intensity.\n",
        "\n",
        "6. Availability in Days\n",
        "A high count of listings with 0 availability days indicates many inactive or seasonally unavailable listings. Listings available year-round (close to 365 days) indicate hosts committed to renting often. Availability affects demand and potential revenue — useful for segmentation.\n",
        "\n",
        "7. Correlation Heatmap\n",
        "Price correlates moderately with:\n",
        "- Calculated host listings count (hosts with many listings may price differently)\n",
        "- Minimum nights (long minimum stay might affect price)\n",
        "- Reviews and availability have weak or no correlation with price but important for demand modeling.\n",
        "\n",
        "Use this to decide feature importance and what to include in your regression or clustering.\n",
        "\n",
        "Summary: What to focus on for ML tasks\n",
        "Price prediction: room_type, neighbourhood_group, minimum_nights, calculated_host_listings_count plus possibly geolocation features.\n",
        "\n",
        "Demand trends: reviews_per_month, number_of_reviews, availability_365.\n",
        "\n",
        "Segmentation: Combine geographic features with price and availability."
      ],
      "metadata": {
        "id": "GEz0Ew-oroNj"
      },
      "id": "GEz0Ew-oroNj"
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Modelling stage (Jordan)\n",
        "\n",
        "## Business question\n",
        "\n",
        "What are the key drivers of listing prices in New York City, and can we build a model to predict the optimal price for a new listing?\n",
        "\n",
        "This question is crucial for hosts to competitively price their properties and for Airbnb to provide effective pricing recommendations. By understanding the factors that most influence price, hosts can optimise their listings to maximise revenue (and fees for airbnb). For Airbnb, an accurate pricing model could be integrated as a tool for new hosts, potentially increasing host satisfaction. Or the price recommendations could suggest to hosts they are not getting booking because their price is too high.\n"
      ],
      "metadata": {
        "id": "MWQU48wrUhDL"
      },
      "id": "MWQU48wrUhDL"
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn.model_selection import train_test_split, GridSearchCV, RandomizedSearchCV\n",
        "from sklearn.preprocessing import RobustScaler\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.ensemble import RandomForestRegressor\n",
        "from xgboost import XGBRegressor\n",
        "from sklearn.metrics import mean_squared_error, r2_score\n",
        "df = pd.read_csv('AB_NYC_2019.csv')\n",
        "plt.style.use('seaborn-v0_8-whitegrid')\n",
        "fig, axes = plt.subplots(1, 2, figsize=(16, 6))\n",
        "\n",
        "# Price on a Linear Scale\n",
        "# We filter out extreme outliers (e.g., price > 1000) for visualisation purposes\n",
        "# to make the distribution of the majority of data points clearer.\n",
        "sns.histplot(df[df['price'] < 1000]['price'], bins=50, kde=True, ax=axes[0])\n",
        "axes[0].set_title('Price Distribution (Linear Scale)\\n(Prices > $1000 removed for clarity)', fontsize=14)\n",
        "axes[0].set_xlabel('Price ($)')\n",
        "axes[0].set_ylabel('Frequency')\n",
        "\n",
        "# price on a Logarithmic Scale\n",
        "# np.log1p(x) is used, which calculates log(1+x) to handle prices of 0.\n",
        "log_price = np.log1p(df['price'])\n",
        "sns.histplot(log_price, bins=50, kde=True, ax=axes[1], color='green')\n",
        "axes[1].set_title('Price Distribution (Log Scale)', fontsize=14)\n",
        "axes[1].set_xlabel('Log(1 + Price)')\n",
        "axes[1].set_ylabel('Frequency')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 601
        },
        "id": "jl4T3BeOarlb",
        "outputId": "cdfbda0c-8b87-4d77-f3e0-1983935d69e6"
      },
      "id": "jl4T3BeOarlb",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "First plot shows that price has an extreme right skew, with long tail of outliers. Log-transforming skewed data is a crucial step in preparing data for machine learning because it effectively tames extreme outliers and stabilises the variance. This process reshapes the data to more closely resemble a normal distribution, which helps satisfy the core assumptions of many algorithms, particularly linear models. Ultimately, this leads to a more robust, stable, and accurate model that is less influenced by unusually large values.\n",
        "\n",
        "We will train on the log transformed dataset for this reason."
      ],
      "metadata": {
        "id": "eaCYCp0jjEWh"
      },
      "id": "eaCYCp0jjEWh"
    },
    {
      "cell_type": "code",
      "source": [
        "# data cleaning & transformation\n",
        "# drop irrelevant columns\n",
        "cols_to_drop = ['id', 'name', 'host_id', 'host_name']\n",
        "df_cleaned = df.drop(columns=cols_to_drop)\n",
        "print(f\"\\nDropped columns: {cols_to_drop}\")\n",
        "\n",
        "# handle missing values\n",
        "# impute 'reviews_per_month' with 0\n",
        "missing_rpm = df_cleaned['reviews_per_month'].isnull().sum()\n",
        "df_cleaned['reviews_per_month'] = df_cleaned['reviews_per_month'].fillna(0)\n",
        "print(f\"Imputed {missing_rpm} missing values in 'reviews_per_month' with 0.\")\n",
        "\n",
        "# convert 'last_review' to an ordinal feature\n",
        "df_cleaned['last_review'] = pd.to_datetime(df_cleaned['last_review'])\n",
        "earliest_review = df_cleaned['last_review'].min()\n",
        "df_cleaned['last_review'] = df_cleaned['last_review'].fillna(earliest_review)\n",
        "df_cleaned['last_review'] = (df_cleaned['last_review'] - earliest_review).dt.days\n",
        "print(\"Transformed 'last_review' into a numerical feature.\")\n",
        "print(df_cleaned['last_review'])\n",
        "\n",
        "# preprocessing\n",
        "print(\"\\n--- Starting Preprocessing ---\")\n",
        "\n",
        "# categorical encoding\n",
        "categorical_features = ['neighbourhood_group', 'room_type', 'neighbourhood']\n",
        "df_encoded = pd.get_dummies(df_cleaned, columns=categorical_features, drop_first=True) # drop_first avoids multicollinearity\n",
        "print(f\"Applied One-Hot Encoding to: {categorical_features}\")\n",
        "\n",
        "# feature and target split\n",
        "X = df_encoded.drop('price', axis=1)\n",
        "y = df_encoded['price']\n",
        "\n",
        "# log transform the target variable\n",
        "y_log = np.log1p(y)\n",
        "print(\"Applied log transformation (log1p) to the target variable 'price'.\")\n",
        "\n",
        "# train-test split\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y_log, test_size=0.2, random_state=42)\n",
        "print(f\"Data split into training ({len(X_train)} rows) and testing ({len(X_test)} rows) sets.\")\n",
        "\n",
        "\n",
        "# feature scaling with robustscaler\n",
        "print(\"\\n--- Scaling Features with RobustScaler ---\")\n",
        "\n",
        "# identify numerical columns from the cleaned dataframe\n",
        "numerical_features = df_cleaned.select_dtypes(include=np.number).columns.drop('price').tolist()\n",
        "scaler = RobustScaler()\n",
        "X_train[numerical_features] = scaler.fit_transform(X_train[numerical_features])\n",
        "X_test[numerical_features] = scaler.transform(X_test[numerical_features])\n",
        "print(\"Training and test sets have been scaled.\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "G5k3DAOjOp4l",
        "outputId": "d572e512-610b-42a5-d456-eb19581be512"
      },
      "id": "G5k3DAOjOp4l",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Dropped columns: ['id', 'name', 'host_id', 'host_name']\n",
            "Imputed 10052 missing values in 'reviews_per_month' with 0.\n",
            "Transformed 'last_review' into a numerical feature.\n",
            "0        2762\n",
            "1        2976\n",
            "2           0\n",
            "3        3021\n",
            "4        2793\n",
            "         ... \n",
            "48890       0\n",
            "48891       0\n",
            "48892       0\n",
            "48893       0\n",
            "48894       0\n",
            "Name: last_review, Length: 48895, dtype: int64\n",
            "\n",
            "--- Starting Preprocessing ---\n",
            "Applied One-Hot Encoding to: ['neighbourhood_group', 'room_type', 'neighbourhood']\n",
            "Applied log transformation (log1p) to the target variable 'price'.\n",
            "Data split into training (39116 rows) and testing (9779 rows) sets.\n",
            "\n",
            "--- Scaling Features with RobustScaler ---\n",
            "Training and test sets have been scaled.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Data preparation workflow:\n",
        "* removed irrelevant columns like IDs and names which offer no predictive value.\n",
        "* missing values: `reviews_per_month` if missing is imputed with zero, a logical assumption for listings with no review history\n",
        "* last_review date is converted from a datetime object into a numerical feature representing the number of days since the earliest review, effectively capturing its recency\n",
        "* Categorical variables such as neighbourhood and room_type are converted into a numerical format using one-hot encoding, allowing the model to interpret them.\n",
        "* a transformation is then applied to the price target variable, which is log-transformed to normalise its heavily skewed distribution\n",
        "* the data is split into training and testing sets to ensure a fair evaluation\n",
        "* robust scaler is is applied to the numerical features, specifically designed to be robust to outliers. scalers are used to put all the numerical features on a common scale, as the features will have different scales, no single feature dominates the learning process just because its numerical values are larger."
      ],
      "metadata": {
        "id": "2Xgt9uL5lWeE"
      },
      "id": "2Xgt9uL5lWeE"
    },
    {
      "cell_type": "code",
      "source": [
        "# model training and evaluation\n",
        "print(\"\\n--- Starting Model Training and Comparison ---\")\n",
        "\n",
        "def evaluate_model(model_name, y_true, y_pred):\n",
        "    rmsle = np.sqrt(mean_squared_error(y_true, y_pred))\n",
        "    r2 = r2_score(y_true, y_pred)\n",
        "    print(f\"--- {model_name} Test Set Results ---\")\n",
        "    print(f\"Root Mean Squared Log Error (RMSLE): {rmsle:.4f}\")\n",
        "    print(f\"R-squared (R2) Score: {r2:.4f}\\n\")\n",
        "    return rmsle, r2\n",
        "\n",
        "# linear regression (baseline)\n",
        "print(\"Training Linear Regression model...\")\n",
        "lr_model = LinearRegression()\n",
        "lr_model.fit(X_train, y_train)\n",
        "y_pred_lr = lr_model.predict(X_test)\n",
        "lr_rmsle, lr_r2 = evaluate_model(\"Linear Regression\", y_test, y_pred_lr)\n",
        "\n",
        "# untuned xgboost regressor\n",
        "print(\"Training Untuned XGBoost Regressor model...\")\n",
        "xgb_untuned = XGBRegressor(objective='reg:squarederror', random_state=42, n_jobs=-1)\n",
        "xgb_untuned.fit(X_train, y_train)\n",
        "y_pred_xgb_untuned = xgb_untuned.predict(X_test)\n",
        "xgb_rmsle_untuned, xgb_r2_untuned = evaluate_model(\"Untuned XGBoost\", y_test, y_pred_xgb_untuned)\n",
        "\n",
        "# tuned xgboost regressor\n",
        "print(\"Tuning Hyperparameters for XGBoost...\")\n",
        "param_grid_xgb = {'max_depth': [5, 7], 'learning_rate': [0.1, 0.05], 'n_estimators': [500, 1000]}\n",
        "grid_search_xgb = GridSearchCV(estimator=XGBRegressor(objective='reg:squarederror', random_state=42, n_jobs=-1),\n",
        "                             param_grid=param_grid_xgb, cv=3, scoring='r2', verbose=1, n_jobs=-1)\n",
        "grid_search_xgb.fit(X_train, y_train)\n",
        "\n",
        "\n",
        "best_xgb = grid_search_xgb.best_estimator_\n",
        "y_pred_xgb_tuned = best_xgb.predict(X_test)\n",
        "xgb_rmsle_tuned, xgb_r2_tuned = evaluate_model(\"Tuned XGBoost\", y_test, y_pred_xgb_tuned)\n",
        "\n",
        "# untuned random forest regressor\n",
        "print(\"Training Untuned Random Forest model...\")\n",
        "rf_untuned = RandomForestRegressor(random_state=42, n_jobs=-1)\n",
        "rf_untuned.fit(X_train, y_train)\n",
        "y_pred_rf_untuned = rf_untuned.predict(X_test)\n",
        "rf_rmsle_untuned, rf_r2_untuned = evaluate_model(\"Untuned Random Forest\", y_test, y_pred_rf_untuned)\n",
        "\n",
        "# tuned random forest regressor\n",
        "print(\"Tuning Hyperparameters for Random Forest...\")\n",
        "random_grid_rf = {'n_estimators': [200, 500, 1000], 'max_features': ['sqrt', 'log2'],\n",
        "                  'max_depth': [10, 20, 30, None], 'min_samples_split': [2, 5],\n",
        "                  'min_samples_leaf': [1, 2]}\n",
        "rf_random_search = RandomizedSearchCV(estimator=RandomForestRegressor(random_state=42, n_jobs=-1),\n",
        "                                      param_distributions=random_grid_rf, n_iter=10, cv=3,\n",
        "                                      verbose=2, random_state=42, n_jobs=-1, scoring='r2')\n",
        "rf_random_search.fit(X_train, y_train)\n",
        "\n",
        "best_rf = rf_random_search.best_estimator_\n",
        "y_pred_rf_tuned = best_rf.predict(X_test)\n",
        "rf_rmsle_tuned, rf_r2_tuned = evaluate_model(\"Tuned Random Forest\", y_test, y_pred_rf_tuned)"
      ],
      "metadata": {
        "id": "hNcE9MUDsC-6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6509e094-66d0-48b7-8bd7-2b57d808b25c"
      },
      "id": "hNcE9MUDsC-6",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "--- Starting Model Training and Comparison ---\n",
            "Training Linear Regression model...\n",
            "--- Linear Regression Test Set Results ---\n",
            "Root Mean Squared Log Error (RMSLE): 0.4598\n",
            "R-squared (R2) Score: 0.5530\n",
            "\n",
            "Training Untuned XGBoost Regressor model...\n",
            "--- Untuned XGBoost Test Set Results ---\n",
            "Root Mean Squared Log Error (RMSLE): 0.4263\n",
            "R-squared (R2) Score: 0.6158\n",
            "\n",
            "Tuning Hyperparameters for XGBoost...\n",
            "Fitting 3 folds for each of 8 candidates, totalling 24 fits\n",
            "--- Tuned XGBoost Test Set Results ---\n",
            "Root Mean Squared Log Error (RMSLE): 0.4222\n",
            "R-squared (R2) Score: 0.6231\n",
            "\n",
            "Training Untuned Random Forest model...\n",
            "--- Untuned Random Forest Test Set Results ---\n",
            "Root Mean Squared Log Error (RMSLE): 0.4291\n",
            "R-squared (R2) Score: 0.6108\n",
            "\n",
            "Tuning Hyperparameters for Random Forest...\n",
            "Fitting 3 folds for each of 10 candidates, totalling 30 fits\n",
            "--- Tuned Random Forest Test Set Results ---\n",
            "Root Mean Squared Log Error (RMSLE): 0.4275\n",
            "R-squared (R2) Score: 0.6138\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        " This cell trains, evaluates, and compares the performance of several machine learning regression models to predict price. It establishes a simple baseline model and then tries to improve upon it using more complex models (XGBoost and Random Forest), both with their default settings and after hyperparameter tuning.\n",
        "\n",
        " *   **Defines an Evaluation Function:**\n",
        "    *   It creates a reusable function called `evaluate_model`.\n",
        "    *   This function takes a model's name, the true target values (`y_true`), and the model's predictions (`y_pred`).\n",
        "    *   It calculates two key performance metrics:\n",
        "        *   **Root Mean Squared Log Error (RMSLE):** A metric that is particularly useful when you don't want to penalize large differences as much when both predicted and actual values are large. It focuses on the relative error.\n",
        "        *   **R-squared (R2) Score:** Measures how much of the variance in the true data is explained by the model. A score closer to 1.0 is better.\n",
        "\n",
        "*   **1. Linear Regression (Baseline):**\n",
        "    *   It trains a standard `LinearRegression` model. This is often used as a simple **baseline** to see how much more complex models can improve upon it.\n",
        "    *   It uses the trained model to make predictions on the test data (`X_test`).\n",
        "    *   It evaluates the model's performance using the `evaluate_model` function.\n",
        "\n",
        "*   **2. Untuned XGBoost Regressor:**\n",
        "    *   It trains an `XGBRegressor` model using its default hyperparameters. XGBoost is a powerful gradient boosting algorithm.\n",
        "    *   It makes predictions and evaluates the \"out-of-the-box\" performance of this model.\n",
        "\n",
        "*   **3. Tuned XGBoost Regressor:**\n",
        "    *   It performs **hyperparameter tuning** for the XGBoost model using `GridSearchCV`.\n",
        "    *   `GridSearchCV` systematically tests every combination of the specified hyperparameters (`max_depth`, `learning_rate`, `n_estimators`) to find the best-performing set.\n",
        "    *   It uses 3-fold cross-validation (`cv=3`) to ensure the results are robust.\n",
        "    *   Once the search is complete, it retrieves the best model found.\n",
        "    *   It uses this newly **tuned model** to make predictions and evaluates its improved performance.\n",
        "\n",
        "*   **4. Untuned Random Forest Regressor:**\n",
        "    *   It trains a `RandomForestRegressor` model with its default settings. This is another popular and powerful ensemble model.\n",
        "    *   It makes predictions and evaluates its performance to compare against the other models.\n",
        "\n",
        "*   **5. Tuned Random Forest Regressor:**\n",
        "    *   It performs hyperparameter tuning for the Random Forest model using `RandomizedSearchCV`.\n",
        "    *   Unlike Grid Search, `RandomizedSearchCV` does not try every combination. Instead, it samples a fixed number of random combinations (`n_iter=10`) from the provided parameter distributions. This is often much faster when the search space is large.\n",
        "    *   It finds the best combination of parameters from the random trials.\n",
        "    *   It retrieves the best-performing Random Forest model.\n",
        "    *   Finally, it uses this **tuned Random Forest** to make predictions and evaluates its performance."
      ],
      "metadata": {
        "id": "Iuzz8TCloNIY"
      },
      "id": "Iuzz8TCloNIY"
    },
    {
      "cell_type": "code",
      "source": [
        "# interpretation and final comparison\n",
        "print(\"\\n--- Final Results and Interpretation ---\")\n",
        "pd.options.display.float_format = '{:.4f}'.format\n",
        "# final performance summary\n",
        "print(\"\\n--- Final Performance Summary on Test Set ---\")\n",
        "summary_data = {\n",
        "    \"Model\": [\"Linear Regression\", \"Untuned XGBoost\", \"Tuned XGBoost\", \"Untuned Random Forest\", \"Tuned Random Forest\"],\n",
        "    \"RMSLE\": [lr_rmsle, xgb_rmsle_untuned, xgb_rmsle_tuned, rf_rmsle_untuned, rf_rmsle_tuned],\n",
        "    \"R2 Score\": [lr_r2, xgb_r2_untuned, xgb_r2_tuned, rf_r2_untuned, rf_r2_tuned]\n",
        "}\n",
        "summary_df = pd.DataFrame(summary_data).sort_values(by=\"R2 Score\", ascending=False)\n",
        "print(summary_df)\n",
        "\n",
        "print(f\"\\nBest parameters for XGBoost: {grid_search_xgb.best_params_}\")\n",
        "print(f\"Best parameters for Random Forest: {rf_random_search.best_params_}\")\n",
        "\n",
        "# feature importance analysis\n",
        "print(\"\\n--- Feature Importance from Best Models ---\")\n",
        "\n",
        "# get feature importances from the best models\n",
        "importances_xgb = best_xgb.feature_importances_\n",
        "importances_rf = best_rf.feature_importances_\n",
        "feature_names = X_train.columns\n",
        "\n",
        "# create a dataframe for plotting\n",
        "feature_importance_df = pd.DataFrame({\n",
        "    'Feature': feature_names,\n",
        "    'XGBoost Importance': importances_xgb,\n",
        "    'Random Forest Importance': importances_rf\n",
        "})\n",
        "\n",
        "# --- Plotting for XGBoost ---\n",
        "# Sort by XGBoost importance to see its top features\n",
        "xgb_importance_sorted = feature_importance_df.sort_values(by='XGBoost Importance', ascending=False)\n",
        "\n",
        "plt.figure(figsize=(12, 8))\n",
        "sns.barplot(x='XGBoost Importance', y='Feature', data=xgb_importance_sorted.head(15), palette='viridis')\n",
        "plt.title('Top 15 Most Important Features for Tuned XGBoost Model')\n",
        "plt.xlabel('Importance')\n",
        "plt.ylabel('Feature')\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# --- Plotting for Random Forest ---\n",
        "# Sort by Random Forest importance to see its top features\n",
        "rf_importance_sorted = feature_importance_df.sort_values(by='Random Forest Importance', ascending=False)\n",
        "\n",
        "plt.figure(figsize=(12, 8))\n",
        "sns.barplot(x='Random Forest Importance', y='Feature', data=rf_importance_sorted.head(15), palette='plasma')\n",
        "plt.title('Top 15 Most Important Features for Tuned Random Forest Model')\n",
        "plt.xlabel('Importance')\n",
        "plt.ylabel('Feature')\n",
        "plt.tight_layout()"
      ],
      "metadata": {
        "id": "lSUTFsqlCb1P",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "f9653c37-3177-4fa8-f8ac-1a165ebcd2dc"
      },
      "id": "lSUTFsqlCb1P",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "--- Final Results and Interpretation ---\n",
            "\n",
            "--- Final Performance Summary on Test Set ---\n",
            "                   Model  RMSLE  R2 Score\n",
            "2          Tuned XGBoost 0.4222    0.6231\n",
            "1        Untuned XGBoost 0.4263    0.6158\n",
            "4    Tuned Random Forest 0.4275    0.6138\n",
            "3  Untuned Random Forest 0.4291    0.6108\n",
            "0      Linear Regression 0.4598    0.5530\n",
            "\n",
            "Best parameters for XGBoost: {'learning_rate': 0.05, 'max_depth': 7, 'n_estimators': 500}\n",
            "Best parameters for Random Forest: {'n_estimators': 1000, 'min_samples_split': 5, 'min_samples_leaf': 1, 'max_features': 'sqrt', 'max_depth': None}\n",
            "\n",
            "--- Feature Importance from Best Models ---\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "This code summarises the final results. First, it creates and prints a pandas DataFrame that compares the performance (RMSLE and R2 Score) of five different models, sorted to show the best one. It then prints the optimal hyperparameters found for the tuned XGBoost and Random Forest models. Next, it extracts the feature importances from these two top-performing models. Finally, it generates and displays two separate bar charts visualising the top 15 most influential features for the XGBoost model and the Random Forest model."
      ],
      "metadata": {
        "id": "xS7-m_1DqOcH"
      },
      "id": "xS7-m_1DqOcH"
    },
    {
      "cell_type": "code",
      "source": [
        "# --- predictions vs. actual price comparison ---\n",
        "print(\"\\n--- Predictions vs. Actual Price Comparison ---\")\n",
        "\n",
        "# revert log transformation to get actual prices\n",
        "actual_prices = np.expm1(y_test)\n",
        "lr_preds_price = np.expm1(y_pred_lr)\n",
        "xgb_tuned_preds_price = np.expm1(y_pred_xgb_tuned)\n",
        "rf_tuned_preds_price = np.expm1(y_pred_rf_tuned)\n",
        "\n",
        "# create a dataframe for easy comparison\n",
        "predictions_df = pd.DataFrame({\n",
        "    'Actual Price': actual_prices,\n",
        "    'Linear Regression': lr_preds_price,\n",
        "    'Tuned XGBoost': xgb_tuned_preds_price,\n",
        "    'Tuned Random Forest': rf_tuned_preds_price\n",
        "})\n",
        "pd.options.display.float_format = '{:.2f}'.format\n",
        "print(\"Showing a sample of predictions (in original price scale) vs actual prices on the test set:\")\n",
        "print(predictions_df.head(10))\n",
        "\n",
        "\n",
        "# --- visualising predictions (without extreme outliers) ---\n",
        "print(\"\\n--- Visualising Predictions (Focusing on the Main Distribution) ---\")\n",
        "\n",
        "# set price limit (99th percentile) to exclude outliers for clearer visualisation.\n",
        "price_limit = predictions_df['Actual Price'].quantile(0.99)\n",
        "print(f\"Excluding listings with prices over ${price_limit:.2f} (99th percentile) for visualisation.\")\n",
        "\n",
        "# filter dataframe for plotting.\n",
        "predictions_df_filtered = predictions_df[predictions_df['Actual Price'] <= price_limit]\n",
        "\n",
        "\n",
        "# 1. predicted vs. actual scatter plots (filtered)\n",
        "# compare the baseline (linear regression) with our two best models.\n",
        "fig, axes = plt.subplots(1, 3, figsize=(21, 6), sharex=True, sharey=True)\n",
        "fig.suptitle('Predicted vs. Actual Prices (Outliers Excluded from View)', fontsize=16)\n",
        "\n",
        "# get min/max from filtered data for the 'perfect prediction' line.\n",
        "# predictions are also clipped to keep the plot axes consistent.\n",
        "all_vals_filtered = np.concatenate([\n",
        "    predictions_df_filtered['Actual Price'],\n",
        "    predictions_df_filtered['Linear Regression'].clip(upper=price_limit),\n",
        "    predictions_df_filtered['Tuned XGBoost'].clip(upper=price_limit),\n",
        "    predictions_df_filtered['Tuned Random Forest'].clip(upper=price_limit)\n",
        "])\n",
        "min_val, max_val = all_vals_filtered.min(), all_vals_filtered.max()\n",
        "\n",
        "# plot for linear regression\n",
        "sns.scatterplot(ax=axes[0], x='Actual Price', y='Linear Regression', data=predictions_df_filtered, alpha=0.5)\n",
        "axes[0].plot([min_val, max_val], [min_val, max_val], 'r--', lw=2, label='Perfect Prediction')\n",
        "axes[0].set_title(f'Linear Regression\\n$R^2$: {lr_r2:.3f} (on full test set)')\n",
        "axes[0].set_xlabel('Actual Price ($)')\n",
        "axes[0].set_ylabel('Predicted Price ($)')\n",
        "axes[0].legend()\n",
        "axes[0].set_xlim(left=0, right=max_val*1.05)\n",
        "axes[0].set_ylim(bottom=0, top=max_val*1.05)\n",
        "\n",
        "\n",
        "# plot for tuned xgboost\n",
        "sns.scatterplot(ax=axes[1], x='Actual Price', y='Tuned XGBoost', data=predictions_df_filtered, alpha=0.5)\n",
        "axes[1].plot([min_val, max_val], [min_val, max_val], 'r--', lw=2)\n",
        "axes[1].set_title(f'Tuned XGBoost\\n$R^2$: {xgb_r2_tuned:.3f} (on full test set)')\n",
        "axes[1].set_xlabel('Actual Price ($)')\n",
        "\n",
        "# plot for tuned random forest\n",
        "sns.scatterplot(ax=axes[2], x='Actual Price', y='Tuned Random Forest', data=predictions_df_filtered, alpha=0.5)\n",
        "axes[2].plot([min_val, max_val], [min_val, max_val], 'r--', lw=2)\n",
        "axes[2].set_title(f'Tuned Random Forest\\n$R^2$: {rf_r2_tuned:.3f} (on full test set)')\n",
        "axes[2].set_xlabel('Actual Price ($)')\n",
        "\n",
        "plt.tight_layout(rect=[0, 0.03, 1, 0.95])\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 884
        },
        "id": "iefJ2T73dorN",
        "outputId": "7ede102a-3697-412e-f893-8b77fb2f3930"
      },
      "id": "iefJ2T73dorN",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "--- Predictions vs. Actual Price Comparison ---\n",
            "Showing a sample of predictions (in original price scale) vs actual prices on the test set:\n",
            "       Actual Price  Linear Regression  Tuned XGBoost  Tuned Random Forest\n",
            "879           89.00             117.49         116.31               115.16\n",
            "44383         30.00              55.76          44.50                50.94\n",
            "15394        120.00             100.96         105.07               106.07\n",
            "43230        470.00             208.73         290.03               283.68\n",
            "16332        199.00             139.63         134.40               154.36\n",
            "5966         170.00             152.99         138.48               148.19\n",
            "29838         90.00              80.72          72.76                69.70\n",
            "41764         60.00             114.33          92.62               108.09\n",
            "11118        150.00             231.51         251.15               274.04\n",
            "31800         74.00             117.57         117.69               112.22\n",
            "\n",
            "--- Visualising Predictions (Focusing on the Main Distribution) ---\n",
            "Excluding listings with prices over $750.00 (99th percentile) for visualisation.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2100x600 with 3 Axes>"
            ],
            "image/png": 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fHTt2NJ6SbdWqlcaMGaM//vgjwRv8gwYNUmBgoHx9fVWlShWjvFSpUvriiy/01Vdf6ddff1WbNm108+ZN7d69Wz4+Ps89HP0vv/yiyMhIffnll2revLlR3qxZM7Vp00azZs1Sz549lTp16ufaT2Ju374tKeHzZPny5Zo1a5Z8fHwS3UZERIQ++eQTxcTEaP78+SpYsKCxbMKECfL19dXPP/+skSNHSpK++uorXbx4Ub179zY7TwYOHKguXbpo48aNWrlypfF5mjt3riRpzpw5yp8/v1G/b9++at68ufz8/NSnT594N90ft3PnTklSxYoVzcqDgoJ05MgR2dvbq0aNGoluw6ROnTravHmz9uzZ80wJCW5uburatau2bdumgIAANWjQIMGn8ZPyyy+/6NChQ2rWrJnGjRtnJHFER0fr448/1rp16zRz5kx98MEHZuutX79eY8eOVaNGjYyyXbt2vfDzMzHOzs4aP368OnTooE8//VSLFi2Sra2tfH19dfbsWb333nsqW7asUX/ixIk6fvy4evbsqY8//tgob926tVq2bKmRI0eqevXqcnBwsEh89+7d0y+//CIHBwfNmzfP7LPo6+trfDc/asmSJVq/fr0qVqyoqVOnytHR0Vg2btw4zZw5U99//73GjBkjKe7fgz179ih37txaunSpkRwTExOjPn366Nq1a8mKtU2bNvL399fChQuVJUuWBL+rEjq/b9++rTFjxsje3l7z5883kkIk6f3331fz5s313XffqW7duvESUzZv3mwkg0lx51mvXr30xRdfqGnTpho7dqxR19PTUzNnztSmTZuS9Xlq3769Dh8+rD/++CPBhITVq1crKChI1apVe+LoJiZPc85UqVJFkyZN0v79+9WmTRtjG3/99ZdSpUqlatWqaf/+/Wbb379/v6Kjo+MlJVarVk1TpkzRjh07SEgAAAAAXjNM2QAAAAC8gSIiIoxhlBMaqcDHx8csGUGKS1IICgpSq1atzJIRJKlo0aJq0KCB7t+/ry1btkiS/vnnH92+fVsFChQwS0aQpHr16pndlE3M4sWLJUnvvfeekYwgSa6urho6dKj69OmjmJiYRLfx77//6uDBgypUqFC8KSjSpEmjnj17Soob0UGSoqKitH37dtnY2BjDepvkyJEj2QkJktS4cWNJcUkYjzNN/9C0aVNJMoYnf/Q4Tdq1a6cjR448983O+fPnS5JZOzRp0kROTk5atmyZIiIizOqfPHlSx44dU6FChcySEaS4ob9N0wS8CEOGDNHPP/8c7wabt7e3MmXKpMjISJ07d+6F7NvE9JlI6DzJli1bkskIkrRjxw7dvHlTVatWjfe579y5s7p162ZMkfDw4UOtXr1aHh4e6tOnj1ldJycn9e3bV5LMpmIIDAyUJNnZ2ZnVd3Nz09q1a7Vz584kkxGuX7+u//77TxkzZoz3RPaVK1cUHR2trFmzytnZOcnjlWQc56VLl5JV/0WIjY3VH3/8ITs7Ow0ZMsS4sSrFtZUp+SahaS0cHBzijRRh6fMzNDRUV65cSfTv8ek8TIk+R48e1e+//66AgAD98ssvyp8/v1niVExMjJYtWyZbW9t4MRUqVEiffPKJOnfunOCUCM9q586dioiIUOXKlc2SEaS4z3lCo4iYphEYMmSIWTKCFDcah6Ojo1avXm18L5mmMWjTpo3ZSB22trbxzpfnldD5vWbNGoWFhalBgwZmyQhS3KhDDRs2VGRkpNlUSCbvvvuuWRuYkkciIyPjxW5altzzp0GDBvLw8NDevXsTnPJg0aJFkqQOHTokup2nPWeKFy+utGnTGlMOmfz1118qWrSoSpQooXPnzunOnTvGMtP0EI9/pxYpUsQYcSShaWkAAAAAvLoYIQEAAAB4TcXGxurKlStmZSEhIbpw4YKmT5+uixcvqmrVqqpWrVq8dRMaWvuff/6RJGXOnDnediUZNzGPHj2qJk2a6N9//5WkeDdtTEqWLKkzZ84keRxHjx6VpHhz2ktxUyLUrl07yW2YYs+VK1eCsZuGjTbt6/LlywoLC1PmzJmVPn36BGP//fffk9yvFHfTxd3dXbt27TKbtuHEiRO6ePGifHx8lCtXLklS6dKllTp1aq1atUpSXNJAqVKl5OTkJBsbG7ObQ8/i6NGjOnLkiIoXL27WnmnTptXbb7+tVatWacOGDWZPhZvaJKH3MVWqVMbUGC9C8eLFjSH6w8PDde/ePUVFRUmKSyS5ceOG2Xzmz+r69etmN+zDw8MVEBCguXPnav/+/SpSpEi8RBYp4fMkIYm1YaZMmTRo0CDj9bFjxxQdHa2cOXMmOE1EhgwZZGNjY2xTkqpXr67z58/rvffeU9euXVW9enXjKeiEbp4n5ObNm5KkLFmyxFsWHBwsSUlO1fAoV1dXs3WtISAgQHfv3lWmTJkUEhKikJAQs+U2NjZKmzatLl26pAcPHihNmjTGsgIFCsQbOcDS5+eOHTtUq1atROt06tRJI0aMMCv76KOPtG3bNv34449au3atoqOjNX78eGPEEynuO+z+/fvKli1bgqN7JDSlwPNK7Dvf3t5exYoV0+7du42yiIgInTx5UjY2NnJzc0vwuzl37tw6c+aMzp07p8KFCxv7SOjcK1KkiJycnCzynfCkfRw7dkxS3OgwCfH29taSJUt0/PjxeMse/zfMdI64urrGG03BtOzxBLEncXR0VKtWrTRt2jQtWrTIbKSbU6dO6fDhw8qRI0eSUyU9yzlToUIFrV+/XleuXFH27NkVFBSkY8eO6f333zcSK/bt26f69etLiktIcHFxMUYjevQY3N3ddefOHd27d08ZMmRI1rEDAAAASPlISAAAAABeU4GBgU+82eXi4qKuXbuqf//+Cd5EM81l/6i7d+9KihtiPqGht01MU0GYnuxN6GaYJLM5wRNj2m9CT9cml2kb69evT/DJVRNLxy7FPWldr149LVy4UFu3bjVGTHh0ugaTTJkyacaMGRo+fLhWrVqlVatWydHRUaVKlVLdunXVokWLJJ90T4xpdITWrVvHW9aqVSutWrVKCxYsMEtIMD3Z+ujN2pclMDBQP/74ozZs2GC8Ny9Cw4YNEyx3cHBQq1atNHToULObvSYJnScJeZo2NNU9fPhwojerHz58qPDwcDk5OemTTz5RdHS0FixYoDFjxmjMmDHKli2bqlatqtatW6to0aJJ7vfevXuSEj4m05QYDx8+THI7j8YnWedzY2Jqy5s3byZ54//27dtmsSbUDpY+P318fNStW7dE6yQ0vL6jo6MmTJig5s2b69ChQ+rVq5eKFStmVsca521S35uPt+n9+/eNJ+GTSiy7ffu2ChcunOg+bG1tlTZtWt26deup4n6SxP4dTChRTfrfvw2m8+lRj/8bZvq3N6FjMS2LjY1NdrzvvPOOfH199eeff6pfv35GQo1pdIR33nlHtraJD5T6LOdMlSpVtH79eu3fv1/Zs2fXgQMHFBUVpXLlyqlIkSJycXExEhLu37+vU6dOqWrVqvFGxJDi2pyEBAAAAOD1Q0ICAAAA8JpydXWNlzhgZ2cnDw8PFSlSJMGbASaJPVXdtWvXJz4dKkkZM2aU9L8bKU96ajipaRZMTOsn90nRxLZRtWpVtW3b9on1TDdwLBW7SePGjbVw4UKtW7fOSEhYu3atHBwc1KBBA7O63t7eWrlypQ4ePKjt27dr9+7d8vf3119//aWZM2dq1qxZypYt21PtX4q7+WeapmPUqFEaNWpUgvUOHDigf//9VwUKFJAk4wbW87T/s4iIiNC7776rM2fOKH/+/OrcubOyZs1q3PAdP358gkOTP4vvv//eLOHA9BRw4cKFjSeVE5Lc0Qeepg1Nn7miRYuqd+/eidY1TdFgZ2en4cOHq0ePHtq6dat2796tvXv3asGCBVqwYIH69euX5LZMCQSm5INH5ciRQw4ODrp27Zru37//xBvOjzI9yZ4vX74k674oprbMkiWLRo4cmWjdTJkymb1+0ntryfMzY8aMyRrhJSFHjx41vqf+/vtvxcbGmn1fWeO8Tep78/Gb66Z6jo6O+uGHHxLdtmnUhafdx/NI7Px+0n5M/zY872g2zyJ79uyqVq2atm7dqk2bNql+/foKCwvTypUr5eTkpJYtWya5jWc5Z0xTMu3fv1/NmzfXX3/9JQcHB5UuXVr29vby8fHR/v37jToxMTFPHKnB9P1jyalEAAAAAFgfCQkAAADAa8rBweGZb3YlxNPTU1LcjYrkbNf0ZK5pfvvHJfeJ9wwZMuj69eu6e/fuE59KTc42pLgpBl5m7CalS5dWtmzZtHPnTgUFBencuXO6evWq6tSpk+DIDzY2NipTpozKlCmjgQMH6urVqxo3bpw2bNigH3/8Ud98881T7V+Sli5dqrCwMBUqVOiJ02gEBATowIEDWrBggZGwYGpz05PBzyqxG3SPzi9usnnzZiMZYdGiRfESA8aPH/9c8TyqevXqiSYePK+nacNHnwp+2vM3Q4YMat26tVq3bq2oqCht2LBBo0aN0qRJk1S/fn3lyZPnieuabgQGBQXFW+bs7KxSpUrJ399fa9asUfv27ZOMZcOGDZLikoBMnvYz8LxMbRkaGmrR78IXcX4+jStXrmjcuHHKmTOnKlWqpIULF2rOnDnq3LmzUcd07M9z3j7t+2X6DD3pe/P27dtmr93d3eXg4KCIiAhVrFgxWeegaR+mkRIeFRkZmWC5JZnO5Sd9XpMaQeFFa9++vbZu3arFixerfv36Wrt2rR48eKAWLVoka0SXZzlnsmXLpty5c+vAgQOSpL/++kvFihUzpngpU6aMfvrpJ929e1f+/v6S9MSEBNP3T0KJUQAAAABeXYmP1QYAAAAA/69EiRKSZDYH+KNu375tNl983rx5JUmnT59OsP6hQ4eStd/ixYtLknEj41Hr169X7969jekPnsQU+4EDBxKcXzwkJMRsmO9cuXLJwcFBN27cSPAGV3JjN7GxsVGjRo0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