6) Time Series Models/SARIMA/SARIMA.ipynb

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            "--2024-12-10 14:20:20--  https://media.githubusercontent.com/media/pradeep-016/ML_Course/refs/heads/main/6)%20Time%20Series%20Models/SARIMA/GlobalTemperatures.csv\n",
            "Resolving media.githubusercontent.com (media.githubusercontent.com)... 185.199.109.133, 185.199.110.133, 185.199.108.133, ...\n",
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            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 205875 (201K) [text/plain]\n",
            "Saving to: ‘GlobalTemperatures.csv’\n",
            "\n",
            "\rGlobalTemperatures.   0%[                    ]       0  --.-KB/s               \rGlobalTemperatures. 100%[===================>] 201.05K  --.-KB/s    in 0.02s   \n",
            "\n",
            "2024-12-10 14:20:20 (8.53 MB/s) - ‘GlobalTemperatures.csv’ saved [205875/205875]\n",
            "\n"
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      "source": [
        "!wget \"https://media.githubusercontent.com/media/pradeep-016/ML_Course/refs/heads/main/6)%20Time%20Series%20Models/SARIMA/GlobalTemperatures.csv\""
      ]
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        "id": "meLInJHzA82A"
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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from statsmodels.tsa.seasonal import seasonal_decompose\n",
        "from statsmodels.tsa.statespace.sarimax import SARIMAX\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import mean_squared_error, mean_absolute_error\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "BF6T_rvIBYHf"
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      "source": [
        "data = pd.read_csv('GlobalTemperatures.csv')"
      ]
    },
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              "           dt  LandAverageTemperature  LandAverageTemperatureUncertainty  \\\n",
              "0  1750-01-01                   3.034                              3.574   \n",
              "1  1750-02-01                   3.083                              3.702   \n",
              "2  1750-03-01                   5.626                              3.076   \n",
              "3  1750-04-01                   8.490                              2.451   \n",
              "4  1750-05-01                  11.573                              2.072   \n",
              "\n",
              "   LandMaxTemperature  LandMaxTemperatureUncertainty  LandMinTemperature  \\\n",
              "0                 NaN                            NaN                 NaN   \n",
              "1                 NaN                            NaN                 NaN   \n",
              "2                 NaN                            NaN                 NaN   \n",
              "3                 NaN                            NaN                 NaN   \n",
              "4                 NaN                            NaN                 NaN   \n",
              "\n",
              "   LandMinTemperatureUncertainty  LandAndOceanAverageTemperature  \\\n",
              "0                            NaN                             NaN   \n",
              "1                            NaN                             NaN   \n",
              "2                            NaN                             NaN   \n",
              "3                            NaN                             NaN   \n",
              "4                            NaN                             NaN   \n",
              "\n",
              "   LandAndOceanAverageTemperatureUncertainty  \n",
              "0                                        NaN  \n",
              "1                                        NaN  \n",
              "2                                        NaN  \n",
              "3                                        NaN  \n",
              "4                                        NaN  "
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              "      <th>LandAverageTemperature</th>\n",
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              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 3192,\n  \"fields\": [\n    {\n      \"column\": \"dt\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 3192,\n        \"samples\": [\n          \"1835-10-01\",\n          \"1833-06-01\",\n          \"1815-06-01\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LandAverageTemperature\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.381309770725172,\n        \"min\": -2.08,\n        \"max\": 19.021,\n        \"num_unique_values\": 2839,\n        \"samples\": [\n          10.497,\n          14.162,\n          5.474\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LandAverageTemperatureUncertainty\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.0964397949200602,\n        \"min\": 0.034,\n        \"max\": 7.88,\n        \"num_unique_values\": 1594,\n        \"samples\": [\n          1.239,\n          0.618,\n          0.294\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LandMaxTemperature\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.309578965948533,\n        \"min\": 5.9,\n        \"max\": 21.32,\n        \"num_unique_values\": 1814,\n        \"samples\": [\n          9.25,\n          8.468,\n          17.597\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LandMaxTemperatureUncertainty\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5832029574744954,\n        \"min\": 0.044,\n        \"max\": 4.373,\n        \"num_unique_values\": 841,\n        \"samples\": [\n          0.384,\n          0.073,\n          1.812\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LandMinTemperature\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.155835320049619,\n        \"min\": -5.407,\n        \"max\": 9.715,\n        \"num_unique_values\": 1873,\n        \"samples\": [\n          9.098,\n          -1.2990000000000002,\n          8.894\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LandMinTemperatureUncertainty\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.44583783706083313,\n        \"min\": 0.045,\n        \"max\": 3.498,\n        \"num_unique_values\": 781,\n        \"samples\": [\n          0.251,\n          0.247,\n          0.334\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LandAndOceanAverageTemperature\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.2740929544373831,\n        \"min\": 12.475,\n        \"max\": 17.611,\n        \"num_unique_values\": 1596,\n        \"samples\": [\n          16.174,\n          16.67,\n          17.049\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LandAndOceanAverageTemperatureUncertainty\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.07358679600543894,\n        \"min\": 0.042,\n        \"max\": 0.457,\n        \"num_unique_values\": 294,\n        \"samples\": [\n          0.356,\n          0.297,\n          0.191\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 3192 entries, 0 to 3191\n",
            "Data columns (total 9 columns):\n",
            " #   Column                                     Non-Null Count  Dtype  \n",
            "---  ------                                     --------------  -----  \n",
            " 0   dt                                         3192 non-null   object \n",
            " 1   LandAverageTemperature                     3180 non-null   float64\n",
            " 2   LandAverageTemperatureUncertainty          3180 non-null   float64\n",
            " 3   LandMaxTemperature                         1992 non-null   float64\n",
            " 4   LandMaxTemperatureUncertainty              1992 non-null   float64\n",
            " 5   LandMinTemperature                         1992 non-null   float64\n",
            " 6   LandMinTemperatureUncertainty              1992 non-null   float64\n",
            " 7   LandAndOceanAverageTemperature             1992 non-null   float64\n",
            " 8   LandAndOceanAverageTemperatureUncertainty  1992 non-null   float64\n",
            "dtypes: float64(8), object(1)\n",
            "memory usage: 224.6+ KB\n"
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      "metadata": {
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      "source": [
        "data['dt'] = pd.to_datetime(data['dt'])\n",
        "data = data.set_index('dt')\n",
        "data = data[['LandAverageTemperature']]\n",
        "data = data.dropna()\n",
        "data = data.resample('ME').mean()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "nyi4uiMIG2tt"
      },
      "outputs": [],
      "source": [
        "train_data, test_data = train_test_split(data, test_size = 0.2, shuffle = False)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 115
        },
        "id": "xSw61OWCHk6_",
        "outputId": "9937af75-033d-46ad-ad16-d4fd6b9a7692"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LandAverageTemperature    12\n",
              "dtype: int64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>LandAverageTemperature</th>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "data.isna().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "IMUVHdaUHsBy"
      },
      "outputs": [],
      "source": [
        "train_data['LandAverageTemperature'] = train_data['LandAverageTemperature'].interpolate(method = 'time')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 486
        },
        "id": "373WbM92H8S4",
        "outputId": "c4056920-6c2a-44b3-9a02-24902fe94352"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "decomposition = seasonal_decompose(train_data, model = 'additive')\n",
        "decomposition.plot()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "CcMcpFOUw9sc"
      },
      "outputs": [],
      "source": [
        "model = SARIMAX(train_data, order = (1,1,1), seasonal_order = (1,1,1, 12))"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sarima_model = model.fit(disp = False)"
      ],
      "metadata": {
        "id": "M5vn6qCQ5Brj"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "forecast = sarima_model.get_forecast(steps = len(test_data))\n",
        "forecast_index = test_data.index\n",
        "forecast_mean = forecast.predicted_mean\n",
        "forecast_conf= forecast.conf_int()\n",
        "forecast_conf.index = forecast_index"
      ],
      "metadata": {
        "id": "51QvoPXZ5Fxx"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (10,6))\n",
        "plt.plot(train_data.index, train_data, label = 'Training Data')\n",
        "plt.plot(test_data.index, test_data, label = 'Testing Data', color = 'orange')\n",
        "plt.plot(forecast_index, forecast_mean, label = 'Forecast', color = 'green')\n",
        "plt.fill_between(forecast_conf.index, forecast_conf.iloc[:,0], forecast_conf.iloc[:,1], color = 'grey', alpha = 0.2)\n",
        "plt.title('Sarima Model Forecast')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 545
        },
        "id": "u1dOsFAL5pMP",
        "outputId": "b883a6fc-58bc-4a82-8f99-58a11f0f5df5"
      },
      "execution_count": 14,
      "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": [
        "mae = mean_absolute_error(test_data, forecast_mean)\n",
        "mse = mean_squared_error(test_data, forecast_mean)\n",
        "rmse = np.sqrt(mse)\n",
        "print(f'Mean Absolute Error: {mae}')\n",
        "print(f'Mean Squared Error: {mse}')\n",
        "print(f'Root Mean Squared Error: {rmse}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wApNKkxo68Q3",
        "outputId": "c7724c6d-8d53-4358-bff4-06348f903275"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mean Absolute Error: 0.3804674206254968\n",
            "Mean Squared Error: 0.22715334175314697\n",
            "Root Mean Squared Error: 0.4766060655857697\n"
          ]
        }
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}