EDA_and_linear_regression_of_google_stocks (1).ipynb

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      "metadata": {
        "id": "ak0P_tpJdLly"
      },
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      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn import linear_model\n",
        "from sklearn import metrics\n",
        "import json"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "5HfwN9Q5dSrY"
      },
      "outputs": [],
      "source": [
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Load the JSON configuration file\n",
        "with open('config.json', 'r') as config_file:\n",
        "    config = json.load(config_file)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Use the train_data_path from the configuration\n",
        "train_data_path = config[\"train_data_path\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "CK4g2T7adW2_"
      },
      "outputs": [],
      "source": [
        "# Read the CSV file\n",
        "df = pd.read_csv(train_data_path)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
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              "      <th></th>\n",
              "      <th>Date</th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Adj Close</th>\n",
              "      <th>Volume</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2010-01-04</td>\n",
              "      <td>15.689439</td>\n",
              "      <td>15.753504</td>\n",
              "      <td>15.621622</td>\n",
              "      <td>15.684434</td>\n",
              "      <td>15.684434</td>\n",
              "      <td>78169752</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2010-01-05</td>\n",
              "      <td>15.695195</td>\n",
              "      <td>15.711712</td>\n",
              "      <td>15.554054</td>\n",
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              "      <td>15.615365</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2010-01-06</td>\n",
              "      <td>15.662162</td>\n",
              "      <td>15.662162</td>\n",
              "      <td>15.174174</td>\n",
              "      <td>15.221722</td>\n",
              "      <td>15.221722</td>\n",
              "      <td>158988852</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2010-01-07</td>\n",
              "      <td>15.250250</td>\n",
              "      <td>15.265265</td>\n",
              "      <td>14.831081</td>\n",
              "      <td>14.867367</td>\n",
              "      <td>14.867367</td>\n",
              "      <td>256315428</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2010-01-08</td>\n",
              "      <td>14.814815</td>\n",
              "      <td>15.096346</td>\n",
              "      <td>14.742492</td>\n",
              "      <td>15.065566</td>\n",
              "      <td>15.065566</td>\n",
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              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2010-01-11</td>\n",
              "      <td>15.126627</td>\n",
              "      <td>15.126627</td>\n",
              "      <td>14.865866</td>\n",
              "      <td>15.042793</td>\n",
              "      <td>15.042793</td>\n",
              "      <td>288227484</td>\n",
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              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2010-01-12</td>\n",
              "      <td>14.956206</td>\n",
              "      <td>14.968969</td>\n",
              "      <td>14.714715</td>\n",
              "      <td>14.776777</td>\n",
              "      <td>14.776777</td>\n",
              "      <td>193937868</td>\n",
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              "      <th>7</th>\n",
              "      <td>2010-01-13</td>\n",
              "      <td>14.426677</td>\n",
              "      <td>14.724224</td>\n",
              "      <td>14.361862</td>\n",
              "      <td>14.691942</td>\n",
              "      <td>14.691942</td>\n",
              "      <td>259604136</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2010-01-14</td>\n",
              "      <td>14.612112</td>\n",
              "      <td>14.869870</td>\n",
              "      <td>14.584835</td>\n",
              "      <td>14.761011</td>\n",
              "      <td>14.761011</td>\n",
              "      <td>169434396</td>\n",
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              "      <th>9</th>\n",
              "      <td>2010-01-15</td>\n",
              "      <td>14.848348</td>\n",
              "      <td>14.853854</td>\n",
              "      <td>14.465465</td>\n",
              "      <td>14.514515</td>\n",
              "      <td>14.514515</td>\n",
              "      <td>217162620</td>\n",
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            "text/plain": [
              "         Date       Open       High        Low      Close  Adj Close  \\\n",
              "0  2010-01-04  15.689439  15.753504  15.621622  15.684434  15.684434   \n",
              "1  2010-01-05  15.695195  15.711712  15.554054  15.615365  15.615365   \n",
              "2  2010-01-06  15.662162  15.662162  15.174174  15.221722  15.221722   \n",
              "3  2010-01-07  15.250250  15.265265  14.831081  14.867367  14.867367   \n",
              "4  2010-01-08  14.814815  15.096346  14.742492  15.065566  15.065566   \n",
              "5  2010-01-11  15.126627  15.126627  14.865866  15.042793  15.042793   \n",
              "6  2010-01-12  14.956206  14.968969  14.714715  14.776777  14.776777   \n",
              "7  2010-01-13  14.426677  14.724224  14.361862  14.691942  14.691942   \n",
              "8  2010-01-14  14.612112  14.869870  14.584835  14.761011  14.761011   \n",
              "9  2010-01-15  14.848348  14.853854  14.465465  14.514515  14.514515   \n",
              "\n",
              "      Volume  \n",
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        "df.head(10)"
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          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 3272 entries, 0 to 3271\n",
            "Data columns (total 7 columns):\n",
            " #   Column     Non-Null Count  Dtype  \n",
            "---  ------     --------------  -----  \n",
            " 0   Date       3272 non-null   object \n",
            " 1   Open       3272 non-null   float64\n",
            " 2   High       3272 non-null   float64\n",
            " 3   Low        3272 non-null   float64\n",
            " 4   Close      3272 non-null   float64\n",
            " 5   Adj Close  3272 non-null   float64\n",
            " 6   Volume     3272 non-null   int64  \n",
            "dtypes: float64(5), int64(1), object(1)\n",
            "memory usage: 179.1+ KB\n"
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              "    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-65e55448-e7d2-4706-8fb1-51682c56a1d3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "       Date   Open   High    Low  Close  Adj Close  Volume\n",
              "0     False  False  False  False  False      False   False\n",
              "1     False  False  False  False  False      False   False\n",
              "2     False  False  False  False  False      False   False\n",
              "3     False  False  False  False  False      False   False\n",
              "4     False  False  False  False  False      False   False\n",
              "...     ...    ...    ...    ...    ...        ...     ...\n",
              "3267  False  False  False  False  False      False   False\n",
              "3268  False  False  False  False  False      False   False\n",
              "3269  False  False  False  False  False      False   False\n",
              "3270  False  False  False  False  False      False   False\n",
              "3271  False  False  False  False  False      False   False\n",
              "\n",
              "[3272 rows x 7 columns]"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.isnull()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "mUbWsTTbGb5J",
        "outputId": "d9d91801-8b3f-437a-df64-3f5587dc6390"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-84fe8091-485e-46c3-8223-e46f9e6f8f4f\" class=\"colab-df-container\">\n",
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "    .dataframe tbody tr th {\n",
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              "\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>Date</th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Adj Close</th>\n",
              "      <th>Volume</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2130</th>\n",
              "      <td>2018-06-20</td>\n",
              "      <td>59.165001</td>\n",
              "      <td>60.074501</td>\n",
              "      <td>59.101501</td>\n",
              "      <td>59.203499</td>\n",
              "      <td>59.203499</td>\n",
              "      <td>51686000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2145</th>\n",
              "      <td>2018-07-12</td>\n",
              "      <td>58.743000</td>\n",
              "      <td>60.099499</td>\n",
              "      <td>58.654999</td>\n",
              "      <td>60.063000</td>\n",
              "      <td>60.063000</td>\n",
              "      <td>44148000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2146</th>\n",
              "      <td>2018-07-13</td>\n",
              "      <td>60.139999</td>\n",
              "      <td>60.521999</td>\n",
              "      <td>59.764500</td>\n",
              "      <td>60.221001</td>\n",
              "      <td>60.221001</td>\n",
              "      <td>32612000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2147</th>\n",
              "      <td>2018-07-16</td>\n",
              "      <td>60.190498</td>\n",
              "      <td>60.435501</td>\n",
              "      <td>59.669998</td>\n",
              "      <td>59.825500</td>\n",
              "      <td>59.825500</td>\n",
              "      <td>26784000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2148</th>\n",
              "      <td>2018-07-17</td>\n",
              "      <td>59.137001</td>\n",
              "      <td>60.938000</td>\n",
              "      <td>59.099998</td>\n",
              "      <td>60.653999</td>\n",
              "      <td>60.653999</td>\n",
              "      <td>40162000</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>3267</th>\n",
              "      <td>2022-12-23</td>\n",
              "      <td>87.110001</td>\n",
              "      <td>89.550003</td>\n",
              "      <td>87.070000</td>\n",
              "      <td>89.230003</td>\n",
              "      <td>89.230003</td>\n",
              "      <td>23003000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3268</th>\n",
              "      <td>2022-12-27</td>\n",
              "      <td>88.800003</td>\n",
              "      <td>88.940002</td>\n",
              "      <td>87.010002</td>\n",
              "      <td>87.389999</td>\n",
              "      <td>87.389999</td>\n",
              "      <td>20097300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3269</th>\n",
              "      <td>2022-12-28</td>\n",
              "      <td>86.980003</td>\n",
              "      <td>88.040001</td>\n",
              "      <td>85.940002</td>\n",
              "      <td>86.019997</td>\n",
              "      <td>86.019997</td>\n",
              "      <td>19523200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3270</th>\n",
              "      <td>2022-12-29</td>\n",
              "      <td>86.620003</td>\n",
              "      <td>88.849998</td>\n",
              "      <td>86.610001</td>\n",
              "      <td>88.449997</td>\n",
              "      <td>88.449997</td>\n",
              "      <td>23333500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3271</th>\n",
              "      <td>2022-12-30</td>\n",
              "      <td>86.980003</td>\n",
              "      <td>88.300003</td>\n",
              "      <td>86.570000</td>\n",
              "      <td>88.230003</td>\n",
              "      <td>88.230003</td>\n",
              "      <td>23986300</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>909 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-84fe8091-485e-46c3-8223-e46f9e6f8f4f')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "\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",
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              "\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",
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              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-84fe8091-485e-46c3-8223-e46f9e6f8f4f 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-84fe8091-485e-46c3-8223-e46f9e6f8f4f');\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-0f0f0305-74fa-48f5-b2d7-8ff4c711066c\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0f0f0305-74fa-48f5-b2d7-8ff4c711066c')\"\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-0f0f0305-74fa-48f5-b2d7-8ff4c711066c button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "            Date       Open       High        Low      Close  Adj Close  \\\n",
              "2130  2018-06-20  59.165001  60.074501  59.101501  59.203499  59.203499   \n",
              "2145  2018-07-12  58.743000  60.099499  58.654999  60.063000  60.063000   \n",
              "2146  2018-07-13  60.139999  60.521999  59.764500  60.221001  60.221001   \n",
              "2147  2018-07-16  60.190498  60.435501  59.669998  59.825500  59.825500   \n",
              "2148  2018-07-17  59.137001  60.938000  59.099998  60.653999  60.653999   \n",
              "...          ...        ...        ...        ...        ...        ...   \n",
              "3267  2022-12-23  87.110001  89.550003  87.070000  89.230003  89.230003   \n",
              "3268  2022-12-27  88.800003  88.940002  87.010002  87.389999  87.389999   \n",
              "3269  2022-12-28  86.980003  88.040001  85.940002  86.019997  86.019997   \n",
              "3270  2022-12-29  86.620003  88.849998  86.610001  88.449997  88.449997   \n",
              "3271  2022-12-30  86.980003  88.300003  86.570000  88.230003  88.230003   \n",
              "\n",
              "        Volume  \n",
              "2130  51686000  \n",
              "2145  44148000  \n",
              "2146  32612000  \n",
              "2147  26784000  \n",
              "2148  40162000  \n",
              "...        ...  \n",
              "3267  23003000  \n",
              "3268  20097300  \n",
              "3269  19523200  \n",
              "3270  23333500  \n",
              "3271  23986300  \n",
              "\n",
              "[909 rows x 7 columns]"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.query(\"High>60\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tzEzfNhgd7_S",
        "outputId": "fbefa6a7-1632-4b8a-e3d6-4e9c8624ffa1"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Date         3272\n",
              "Open         3204\n",
              "High         3184\n",
              "Low          3215\n",
              "Close        3239\n",
              "Adj Close    3239\n",
              "Volume       3163\n",
              "dtype: int64"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.nunique()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "ztdEO-VcGtOR",
        "outputId": "87c32415-ef2a-4c50-ea23-3abd34c15b12"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1507: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=vector, **plot_kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1507: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=vector, **plot_kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1507: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=vector, **plot_kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1507: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=vector, **plot_kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1507: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=vector, **plot_kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1507: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=vector, **plot_kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n",
            "/usr/local/lib/python3.10/dist-packages/seaborn/axisgrid.py:1609: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
            "  func(x=x, y=y, **kwargs)\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1500x1500 with 42 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "number_of_columns = [\"Date\",\"Open\",\"High\",\"Low\",\"Close\",\"Adj Close\",\"Volume\"]\n",
        "sns.pairplot(df[number_of_columns], kind='scatter', diag_kind='hist', palette='Rainbow')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 617
        },
        "id": "V5E0OEmrkt2Z",
        "outputId": "884eee16-f2b2-4eb3-f9ca-28dce7439438"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "def plot_top_5_highest_closing_stock(file_path):\n",
        "    #Sort the DataFrame based on the \"close\" column in descending order\n",
        "    df_sorted = df.sort_values(by='Close', ascending=False)\n",
        "\n",
        "    #Select the top 20 rows from the sorted DataFrame\n",
        "    top_20_dates = df_sorted.head(20)\n",
        "\n",
        "    #Use seaborn to create a plot\n",
        "    plt.figure(figsize=(10, 6))\n",
        "    sns.lineplot(x=\"Date\", y=\"Close\", data=top_20_dates)\n",
        "    plt.xlabel('Date')\n",
        "    plt.ylabel('Closing Stock')\n",
        "    plt.title('Top 20 Dates with Highest Closing Stocks')\n",
        "    plt.xticks(rotation=45)\n",
        "    plt.show()\n",
        "\n",
        "# Replace 'your_file_path.xlsx' with the actual path to your Excel file.\n",
        "file_path = 'Google_Stock_Train (2010-2022).csv'\n",
        "plot_top_5_highest_closing_stock(file_path)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "IQcMypREJ-ui"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4-ehpKcpgOrZ",
        "outputId": "146e16dc-99eb-419d-ed39-922703146365"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Day with the highest closing stock: 2021-11-18\n"
          ]
        }
      ],
      "source": [
        "#find the day with the most closing stocks\n",
        "def day_with_highest_close(file_path):\n",
        "  #find the row of closing stocks\n",
        "  max_close_stocks = df.loc[df['Close'].idxmax()]\n",
        "  #extract the date of the stocks\n",
        "  date_max_stocks = max_close_stocks['Date']\n",
        "  return date_max_stocks\n",
        "file_path = 'Google_Stock_Train (2010-2022).csv'\n",
        "date_of_max_stock = day_with_highest_close(file_path)\n",
        "\n",
        "print(\"Day with the highest closing stock:\", date_of_max_stock)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6Bvr_wjO4NEn",
        "outputId": "80e8f267-710a-46f5-a9b7-79395c4d6d23"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting scikeras\n",
            "  Downloading scikeras-0.12.0-py3-none-any.whl (27 kB)\n",
            "Requirement already satisfied: packaging>=0.21 in /usr/local/lib/python3.10/dist-packages (from scikeras) (23.2)\n",
            "Requirement already satisfied: scikit-learn>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from scikeras) (1.2.2)\n",
            "Requirement already satisfied: numpy>=1.17.3 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=1.0.0->scikeras) (1.23.5)\n",
            "Requirement already satisfied: scipy>=1.3.2 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=1.0.0->scikeras) (1.11.3)\n",
            "Requirement already satisfied: joblib>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=1.0.0->scikeras) (1.3.2)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=1.0.0->scikeras) (3.2.0)\n",
            "Installing collected packages: scikeras\n",
            "Successfully installed scikeras-0.12.0\n"
          ]
        }
      ],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {},
      "outputs": [],
      "source": [
        "test_data_path = config[\"test_data_path\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "270tXYNypRKo"
      },
      "outputs": [],
      "source": [
        "#we now move to the machine learning aspect including predictions\n",
        "#Here we have our test data too\n",
        "# we will also use linear regression to regulate the changes in the stock prices\n",
        "from keras.models import Sequential\n",
        "from keras.layers import Dense\n",
        "test =  pd.read_csv(test_data_path)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "HWlfk-dS4VFL",
        "outputId": "47f771e9-5f3f-459e-ca8f-a6e6d1c8df44"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Date</th>\n",
              "      <th>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Adj Close</th>\n",
              "      <th>Volume</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2023-01-03</td>\n",
              "      <td>89.589996</td>\n",
              "      <td>91.050003</td>\n",
              "      <td>88.519997</td>\n",
              "      <td>89.120003</td>\n",
              "      <td>89.120003</td>\n",
              "      <td>28131200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2023-01-04</td>\n",
              "      <td>90.349998</td>\n",
              "      <td>90.650002</td>\n",
              "      <td>87.269997</td>\n",
              "      <td>88.080002</td>\n",
              "      <td>88.080002</td>\n",
              "      <td>34854800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2023-01-05</td>\n",
              "      <td>87.470001</td>\n",
              "      <td>87.570000</td>\n",
              "      <td>85.900002</td>\n",
              "      <td>86.199997</td>\n",
              "      <td>86.199997</td>\n",
              "      <td>27194400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2023-01-06</td>\n",
              "      <td>86.790001</td>\n",
              "      <td>87.690002</td>\n",
              "      <td>84.860001</td>\n",
              "      <td>87.339996</td>\n",
              "      <td>87.339996</td>\n",
              "      <td>41381500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2023-01-09</td>\n",
              "      <td>88.360001</td>\n",
              "      <td>90.050003</td>\n",
              "      <td>87.860001</td>\n",
              "      <td>88.019997</td>\n",
              "      <td>88.019997</td>\n",
              "      <td>29003900</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>95</th>\n",
              "      <td>2023-05-19</td>\n",
              "      <td>123.550003</td>\n",
              "      <td>125.970001</td>\n",
              "      <td>122.150002</td>\n",
              "      <td>122.760002</td>\n",
              "      <td>122.760002</td>\n",
              "      <td>41330300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>2023-05-22</td>\n",
              "      <td>122.940002</td>\n",
              "      <td>126.430000</td>\n",
              "      <td>122.739998</td>\n",
              "      <td>125.050003</td>\n",
              "      <td>125.050003</td>\n",
              "      <td>35253000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>2023-05-23</td>\n",
              "      <td>124.160004</td>\n",
              "      <td>124.629997</td>\n",
              "      <td>122.209999</td>\n",
              "      <td>122.559998</td>\n",
              "      <td>122.559998</td>\n",
              "      <td>34046300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>2023-05-24</td>\n",
              "      <td>121.120003</td>\n",
              "      <td>121.910004</td>\n",
              "      <td>119.860001</td>\n",
              "      <td>120.900002</td>\n",
              "      <td>120.900002</td>\n",
              "      <td>34182600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>2023-05-25</td>\n",
              "      <td>124.519997</td>\n",
              "      <td>125.320000</td>\n",
              "      <td>121.959999</td>\n",
              "      <td>123.480003</td>\n",
              "      <td>123.480003</td>\n",
              "      <td>42317000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>100 rows × 7 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "          Date        Open        High         Low       Close   Adj Close  \\\n",
              "0   2023-01-03   89.589996   91.050003   88.519997   89.120003   89.120003   \n",
              "1   2023-01-04   90.349998   90.650002   87.269997   88.080002   88.080002   \n",
              "2   2023-01-05   87.470001   87.570000   85.900002   86.199997   86.199997   \n",
              "3   2023-01-06   86.790001   87.690002   84.860001   87.339996   87.339996   \n",
              "4   2023-01-09   88.360001   90.050003   87.860001   88.019997   88.019997   \n",
              "..         ...         ...         ...         ...         ...         ...   \n",
              "95  2023-05-19  123.550003  125.970001  122.150002  122.760002  122.760002   \n",
              "96  2023-05-22  122.940002  126.430000  122.739998  125.050003  125.050003   \n",
              "97  2023-05-23  124.160004  124.629997  122.209999  122.559998  122.559998   \n",
              "98  2023-05-24  121.120003  121.910004  119.860001  120.900002  120.900002   \n",
              "99  2023-05-25  124.519997  125.320000  121.959999  123.480003  123.480003   \n",
              "\n",
              "      Volume  \n",
              "0   28131200  \n",
              "1   34854800  \n",
              "2   27194400  \n",
              "3   41381500  \n",
              "4   29003900  \n",
              "..       ...  \n",
              "95  41330300  \n",
              "96  35253000  \n",
              "97  34046300  \n",
              "98  34182600  \n",
              "99  42317000  \n",
              "\n",
              "[100 rows x 7 columns]"
            ]
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "test.head(100)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wD2EeUxDJUYM",
        "outputId": "83181786-c521-4f66-9b14-4e8b764f970f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "           Open        High         Low       Close   Adj Close    Volume\n",
            "0     89.589996   91.050003   88.519997   89.120003   89.120003  28131200\n",
            "1     90.349998   90.650002   87.269997   88.080002   88.080002  34854800\n",
            "2     87.470001   87.570000   85.900002   86.199997   86.199997  27194400\n",
            "3     86.790001   87.690002   84.860001   87.339996   87.339996  41381500\n",
            "4     88.360001   90.050003   87.860001   88.019997   88.019997  29003900\n",
            "..          ...         ...         ...         ...         ...       ...\n",
            "138  121.660004  123.000000  120.980003  121.529999  121.529999  29686100\n",
            "139  121.360001  123.150002  121.019997  122.209999  122.209999  52509600\n",
            "140  130.070007  130.979996  128.320007  129.270004  129.270004  61682100\n",
            "141  131.669998  133.240005  128.789993  129.399994  129.399994  44952100\n",
            "142  130.779999  133.740005  130.570007  132.580002  132.580002  36572900\n",
            "\n",
            "[143 rows x 6 columns]\n"
          ]
        }
      ],
      "source": [
        "#drop non numerical columns\n",
        "column = test.select_dtypes(include=['number'])\n",
        "test = test[column.columns]\n",
        "print(test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "3Wz_ECKKJjB3",
        "outputId": "1edd96c8-02e3-40f2-deff-261143daa262"
      },
      "outputs": [
        {
          "data": {
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              "      <td>89.589996</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>90.349998</td>\n",
              "      <td>90.650002</td>\n",
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              "      <th>2</th>\n",
              "      <td>87.470001</td>\n",
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              "                                                    [key], {});\n",
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              "\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",
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              "\n",
              "<style>\n",
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              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
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              "\n",
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              "      --disabled-fill-color: #666;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
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              "    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",
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              "    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",
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              "      border-color: transparent;\n",
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              "      border-color: transparent;\n",
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              "  }\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-9ad99d67-c1f2-49c9-bbe7-cbff570365dc button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "        Open       High        Low      Close  Adj Close    Volume\n",
              "0  89.589996  91.050003  88.519997  89.120003  89.120003  28131200\n",
              "1  90.349998  90.650002  87.269997  88.080002  88.080002  34854800\n",
              "2  87.470001  87.570000  85.900002  86.199997  86.199997  27194400\n",
              "3  86.790001  87.690002  84.860001  87.339996  87.339996  41381500\n",
              "4  88.360001  90.050003  87.860001  88.019997  88.019997  29003900"
            ]
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "test.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 292
        },
        "id": "8WxleTsy50sB",
        "outputId": "1d9ba8cc-34ea-436f-fb73-88d42fc6198e"
      },
      "outputs": [
        {
          "data": {
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",
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(12, 6))\n",
        "\n",
        "plt.subplot(3, 1, 1,)\n",
        "(df.groupby('Open')['Close'].nunique()).plot()\n",
        "plt.title(\"Range of Opening and Closing stock\")\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "plt.subplots_adjust(left=0.1,\n",
        "                    bottom=0.1,\n",
        "                    right=0.9,\n",
        "                    top=1.3,\n",
        "                    wspace=0.4,\n",
        "                    hspace=0.4)\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "GL9x0kAZ65DF"
      },
      "outputs": [],
      "source": [
        "# Split the data into training and testing set\n",
        "from sklearn.model_selection import train_test_split\n",
        "Target = ['High']\n",
        "Parameters = ['Adj Close','Open','High','Low','Close','Volume']\n",
        "X = test[Parameters].values\n",
        "Y = test[Target].values"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "id": "uGsZNLTx8hVj"
      },
      "outputs": [],
      "source": [
        "from sklearn.preprocessing import StandardScaler"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "id": "7Re_jG-N8qOb"
      },
      "outputs": [],
      "source": [
        "X_scaler = StandardScaler()\n",
        "Y_scaler =StandardScaler()\n",
        "x_fit = X_scaler.fit(X)\n",
        "y_fit = Y_scaler.fit(Y)\n",
        "# Generating the standardized values of X and y\n",
        "X = x_fit.transform(X)\n",
        "y = y_fit.transform(Y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "id": "PXuMA0FvEBW2"
      },
      "outputs": [],
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.24, random_state=42)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1r1PHqeL7R8k",
        "outputId": "68812284-7d2f-4374-ce42-4cb85578b32e"
      },
      "outputs": [],
      "source": [
        "# build the model!\n",
        "def build_model():\n",
        "    model = Sequential()\n",
        "    model.add(Dense(1000, input_shape=(X_train.shape[1],), activation='relu')) # (features,)\n",
        "    model.add(Dense(500, activation='relu'))\n",
        "    model.add(Dense(250, activation='relu'))\n",
        "    model.add(Dense(1, activation='linear')) # output node\n",
        "    model.compile(optimizer=\"adam\",loss=\"mse\",metrics=['accuracy','mae'])\n",
        "    return model\n",
        "    "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "id": "0IEjigLPUqe1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Model: \"sequential_4\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " dense_16 (Dense)            (None, 1000)              7000      \n",
            "                                                                 \n",
            " dense_17 (Dense)            (None, 500)               500500    \n",
            "                                                                 \n",
            " dense_18 (Dense)            (None, 250)               125250    \n",
            "                                                                 \n",
            " dense_19 (Dense)            (None, 1)                 251       \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 633001 (2.41 MB)\n",
            "Trainable params: 633001 (2.41 MB)\n",
            "Non-trainable params: 0 (0.00 Byte)\n",
            "_________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "#compile the model\n",
        "model = build_model()\n",
        "model.summary()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "id": "rX235DrxW79x"
      },
      "outputs": [],
      "source": [
        "from keras.callbacks import EarlyStopping"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {
        "id": "SpSob8lEWJlX"
      },
      "outputs": [],
      "source": [
        "es = EarlyStopping(monitor='val_loss',\n",
        "                   mode='min',patience=50,restore_best_weights=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "07dTAnJGXKUJ",
        "outputId": "c28bfdd0-74c5-4e39-d5f0-dd2439d4c56a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/50\n",
            "3/3 [==============================] - 1s 143ms/step - loss: 0.5668 - accuracy: 0.0000e+00 - mae: 0.5842 - val_loss: 0.1093 - val_accuracy: 0.0000e+00 - val_mae: 0.2846\n",
            "Epoch 2/50\n",
            "3/3 [==============================] - 0s 20ms/step - loss: 0.1052 - accuracy: 0.0000e+00 - mae: 0.2741 - val_loss: 0.0359 - val_accuracy: 0.0000e+00 - val_mae: 0.1454\n",
            "Epoch 3/50\n",
            "3/3 [==============================] - 0s 18ms/step - loss: 0.0385 - accuracy: 0.0000e+00 - mae: 0.1553 - val_loss: 0.0422 - val_accuracy: 0.0000e+00 - val_mae: 0.1591\n",
            "Epoch 4/50\n",
            "3/3 [==============================] - 0s 17ms/step - loss: 0.0404 - accuracy: 0.0000e+00 - mae: 0.1583 - val_loss: 0.0105 - val_accuracy: 0.0000e+00 - val_mae: 0.0673\n",
            "Epoch 5/50\n",
            "3/3 [==============================] - 0s 16ms/step - loss: 0.0138 - accuracy: 0.0000e+00 - mae: 0.0930 - val_loss: 0.0274 - val_accuracy: 0.0000e+00 - val_mae: 0.1450\n",
            "Epoch 6/50\n",
            "3/3 [==============================] - 0s 17ms/step - loss: 0.0232 - accuracy: 0.0000e+00 - mae: 0.1290 - val_loss: 0.0054 - val_accuracy: 0.0000e+00 - val_mae: 0.0570\n",
            "Epoch 7/50\n",
            "3/3 [==============================] - 0s 17ms/step - loss: 0.0084 - accuracy: 0.0000e+00 - mae: 0.0718 - val_loss: 0.0167 - val_accuracy: 0.0000e+00 - val_mae: 0.1098\n",
            "Epoch 8/50\n",
            "3/3 [==============================] - 0s 16ms/step - loss: 0.0161 - accuracy: 0.0000e+00 - mae: 0.0948 - val_loss: 0.0090 - val_accuracy: 0.0000e+00 - val_mae: 0.0777\n",
            "Epoch 9/50\n",
            "3/3 [==============================] - 0s 17ms/step - loss: 0.0055 - accuracy: 0.0000e+00 - mae: 0.0571 - val_loss: 0.0061 - val_accuracy: 0.0000e+00 - val_mae: 0.0634\n",
            "Epoch 10/50\n",
            "3/3 [==============================] - 0s 18ms/step - loss: 0.0066 - accuracy: 0.0000e+00 - mae: 0.0657 - val_loss: 0.0065 - val_accuracy: 0.0000e+00 - val_mae: 0.0646\n",
            "Epoch 11/50\n",
            "3/3 [==============================] - 0s 18ms/step - loss: 0.0049 - accuracy: 0.0000e+00 - mae: 0.0573 - val_loss: 0.0019 - val_accuracy: 0.0000e+00 - val_mae: 0.0372\n",
            "Epoch 12/50\n",
            "3/3 [==============================] - 0s 17ms/step - loss: 0.0034 - accuracy: 0.0000e+00 - mae: 0.0456 - val_loss: 0.0032 - val_accuracy: 0.0000e+00 - val_mae: 0.0473\n",
            "Epoch 13/50\n",
            "3/3 [==============================] - 0s 15ms/step - loss: 0.0036 - accuracy: 0.0000e+00 - mae: 0.0429 - val_loss: 0.0025 - val_accuracy: 0.0000e+00 - val_mae: 0.0377\n",
            "Epoch 14/50\n",
            "3/3 [==============================] - 0s 16ms/step - loss: 0.0025 - accuracy: 0.0000e+00 - mae: 0.0388 - val_loss: 0.0021 - val_accuracy: 0.0000e+00 - val_mae: 0.0378\n",
            "Epoch 15/50\n",
            "3/3 [==============================] - 0s 16ms/step - loss: 0.0022 - accuracy: 0.0000e+00 - mae: 0.0364 - val_loss: 0.0016 - val_accuracy: 0.0000e+00 - val_mae: 0.0322\n",
            "Epoch 16/50\n",
            "3/3 [==============================] - 0s 18ms/step - loss: 0.0015 - accuracy: 0.0000e+00 - mae: 0.0291 - val_loss: 0.0023 - val_accuracy: 0.0000e+00 - val_mae: 0.0360\n",
            "Epoch 17/50\n",
            "3/3 [==============================] - 0s 15ms/step - loss: 0.0019 - accuracy: 0.0000e+00 - mae: 0.0323 - val_loss: 0.0021 - val_accuracy: 0.0000e+00 - val_mae: 0.0348\n",
            "Epoch 18/50\n",
            "3/3 [==============================] - 0s 15ms/step - loss: 0.0018 - accuracy: 0.0000e+00 - mae: 0.0315 - val_loss: 0.0018 - val_accuracy: 0.0000e+00 - val_mae: 0.0342\n",
            "Epoch 19/50\n",
            "3/3 [==============================] - 0s 17ms/step - loss: 0.0015 - accuracy: 0.0000e+00 - mae: 0.0302 - val_loss: 0.0020 - val_accuracy: 0.0000e+00 - val_mae: 0.0363\n",
            "Epoch 20/50\n",
            "3/3 [==============================] - 0s 18ms/step - loss: 0.0017 - accuracy: 0.0000e+00 - mae: 0.0311 - val_loss: 0.0019 - val_accuracy: 0.0000e+00 - val_mae: 0.0359\n",
            "Epoch 21/50\n",
            "3/3 [==============================] - 0s 18ms/step - loss: 0.0015 - accuracy: 0.0000e+00 - mae: 0.0294 - val_loss: 0.0018 - val_accuracy: 0.0000e+00 - val_mae: 0.0351\n",
            "Epoch 22/50\n",
            "3/3 [==============================] - 0s 13ms/step - loss: 0.0016 - accuracy: 0.0000e+00 - mae: 0.0301 - val_loss: 0.0020 - val_accuracy: 0.0000e+00 - val_mae: 0.0359\n",
            "Epoch 23/50\n",
            "3/3 [==============================] - 0s 16ms/step - loss: 0.0015 - accuracy: 0.0000e+00 - mae: 0.0304 - val_loss: 0.0016 - val_accuracy: 0.0000e+00 - val_mae: 0.0310\n",
            "Epoch 24/50\n",
            "3/3 [==============================] - 0s 16ms/step - loss: 0.0015 - accuracy: 0.0000e+00 - mae: 0.0301 - val_loss: 0.0015 - val_accuracy: 0.0000e+00 - val_mae: 0.0302\n",
            "Epoch 25/50\n",
            "3/3 [==============================] - 0s 17ms/step - loss: 0.0013 - accuracy: 0.0000e+00 - mae: 0.0278 - val_loss: 0.0014 - val_accuracy: 0.0000e+00 - val_mae: 0.0300\n",
            "Epoch 26/50\n",
            "3/3 [==============================] - 0s 21ms/step - loss: 0.0011 - accuracy: 0.0000e+00 - mae: 0.0253 - val_loss: 0.0016 - val_accuracy: 0.0000e+00 - val_mae: 0.0321\n",
            "Epoch 27/50\n",
            "3/3 [==============================] - 0s 18ms/step - loss: 0.0012 - accuracy: 0.0000e+00 - mae: 0.0273 - val_loss: 0.0020 - val_accuracy: 0.0000e+00 - val_mae: 0.0346\n",
            "Epoch 28/50\n",
            "3/3 [==============================] - 0s 18ms/step - loss: 0.0017 - accuracy: 0.0000e+00 - mae: 0.0298 - val_loss: 0.0014 - val_accuracy: 0.0000e+00 - val_mae: 0.0303\n",
            "Epoch 29/50\n",
            "3/3 [==============================] - 0s 24ms/step - loss: 0.0013 - accuracy: 0.0000e+00 - mae: 0.0257 - val_loss: 0.0014 - val_accuracy: 0.0000e+00 - val_mae: 0.0315\n",
            "Epoch 30/50\n",
            "3/3 [==============================] - 0s 19ms/step - loss: 0.0013 - accuracy: 0.0000e+00 - mae: 0.0270 - val_loss: 0.0014 - val_accuracy: 0.0000e+00 - val_mae: 0.0295\n",
            "Epoch 31/50\n",
            "3/3 [==============================] - 0s 17ms/step - loss: 0.0012 - accuracy: 0.0000e+00 - mae: 0.0252 - val_loss: 0.0013 - val_accuracy: 0.0000e+00 - val_mae: 0.0289\n",
            "Epoch 32/50\n",
            "3/3 [==============================] - 0s 27ms/step - loss: 0.0013 - accuracy: 0.0000e+00 - mae: 0.0267 - val_loss: 0.0012 - val_accuracy: 0.0000e+00 - val_mae: 0.0282\n",
            "Epoch 33/50\n",
            "3/3 [==============================] - 0s 15ms/step - loss: 0.0011 - accuracy: 0.0000e+00 - mae: 0.0249 - val_loss: 0.0012 - val_accuracy: 0.0000e+00 - val_mae: 0.0282\n",
            "Epoch 34/50\n",
            "3/3 [==============================] - 0s 15ms/step - loss: 0.0010 - accuracy: 0.0000e+00 - mae: 0.0242 - val_loss: 0.0014 - val_accuracy: 0.0000e+00 - val_mae: 0.0295\n",
            "Epoch 35/50\n",
            "3/3 [==============================] - 0s 17ms/step - loss: 0.0012 - accuracy: 0.0000e+00 - mae: 0.0258 - val_loss: 0.0018 - val_accuracy: 0.0000e+00 - val_mae: 0.0327\n",
            "Epoch 36/50\n",
            "3/3 [==============================] - 0s 21ms/step - loss: 0.0011 - accuracy: 0.0000e+00 - mae: 0.0255 - val_loss: 0.0013 - val_accuracy: 0.0000e+00 - val_mae: 0.0297\n",
            "Epoch 37/50\n",
            "3/3 [==============================] - 0s 18ms/step - loss: 0.0010 - accuracy: 0.0000e+00 - mae: 0.0244 - val_loss: 0.0015 - val_accuracy: 0.0000e+00 - val_mae: 0.0304\n",
            "Epoch 38/50\n",
            "3/3 [==============================] - 0s 17ms/step - loss: 0.0012 - accuracy: 0.0000e+00 - mae: 0.0256 - val_loss: 0.0014 - val_accuracy: 0.0000e+00 - val_mae: 0.0297\n",
            "Epoch 39/50\n",
            "3/3 [==============================] - 0s 14ms/step - loss: 0.0010 - accuracy: 0.0000e+00 - mae: 0.0240 - val_loss: 0.0014 - val_accuracy: 0.0000e+00 - val_mae: 0.0301\n",
            "Epoch 40/50\n",
            "3/3 [==============================] - 0s 15ms/step - loss: 0.0010 - accuracy: 0.0000e+00 - mae: 0.0248 - val_loss: 0.0017 - val_accuracy: 0.0000e+00 - val_mae: 0.0310\n",
            "Epoch 41/50\n",
            "3/3 [==============================] - 0s 22ms/step - loss: 0.0010 - accuracy: 0.0000e+00 - mae: 0.0251 - val_loss: 0.0016 - val_accuracy: 0.0000e+00 - val_mae: 0.0306\n",
            "Epoch 42/50\n",
            "3/3 [==============================] - 0s 18ms/step - loss: 9.3345e-04 - accuracy: 0.0000e+00 - mae: 0.0235 - val_loss: 0.0013 - val_accuracy: 0.0000e+00 - val_mae: 0.0305\n",
            "Epoch 43/50\n",
            "3/3 [==============================] - 0s 21ms/step - loss: 0.0010 - accuracy: 0.0000e+00 - mae: 0.0252 - val_loss: 0.0013 - val_accuracy: 0.0000e+00 - val_mae: 0.0281\n",
            "Epoch 44/50\n",
            "3/3 [==============================] - 0s 18ms/step - loss: 9.1382e-04 - accuracy: 0.0000e+00 - mae: 0.0225 - val_loss: 0.0012 - val_accuracy: 0.0000e+00 - val_mae: 0.0263\n",
            "Epoch 45/50\n",
            "3/3 [==============================] - 0s 21ms/step - loss: 9.4761e-04 - accuracy: 0.0000e+00 - mae: 0.0229 - val_loss: 0.0014 - val_accuracy: 0.0000e+00 - val_mae: 0.0274\n",
            "Epoch 46/50\n",
            "3/3 [==============================] - 0s 17ms/step - loss: 9.0958e-04 - accuracy: 0.0000e+00 - mae: 0.0233 - val_loss: 0.0016 - val_accuracy: 0.0000e+00 - val_mae: 0.0304\n",
            "Epoch 47/50\n",
            "3/3 [==============================] - 0s 19ms/step - loss: 9.4900e-04 - accuracy: 0.0000e+00 - mae: 0.0238 - val_loss: 0.0013 - val_accuracy: 0.0000e+00 - val_mae: 0.0279\n",
            "Epoch 48/50\n",
            "3/3 [==============================] - 0s 13ms/step - loss: 8.3513e-04 - accuracy: 0.0000e+00 - mae: 0.0225 - val_loss: 0.0017 - val_accuracy: 0.0000e+00 - val_mae: 0.0324\n",
            "Epoch 49/50\n",
            "3/3 [==============================] - 0s 16ms/step - loss: 0.0012 - accuracy: 0.0000e+00 - mae: 0.0262 - val_loss: 0.0014 - val_accuracy: 0.0000e+00 - val_mae: 0.0312\n",
            "Epoch 50/50\n",
            "3/3 [==============================] - 0s 13ms/step - loss: 0.0013 - accuracy: 0.0000e+00 - mae: 0.0279 - val_loss: 0.0015 - val_accuracy: 0.0000e+00 - val_mae: 0.0297\n"
          ]
        }
      ],
      "source": [
        "history = model.fit(X_train, y_train,\n",
        "                    validation_data = (X_test, y_test),\n",
        "                    callbacks=[es],\n",
        "                    epochs=50,\n",
        "                    batch_size=50,\n",
        "                    verbose=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "DpeByqUeXZpu",
        "outputId": "2b2dad8e-0f7f-453b-e9d9-c8cec21abc4b"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# see the training and validation accuracy by epoch\n",
        "history_dict = history.history\n",
        "loss_values = history_dict['loss'] # you can change this\n",
        "val_loss_values = history_dict['val_loss'] # you can also change this\n",
        "epochs = range(1, len(loss_values) + 1) # range of X (no. of epochs)\n",
        "plt.plot(epochs, loss_values, 'bo', label='Training loss')\n",
        "plt.plot(epochs, val_loss_values, 'orange', label='Validation loss')\n",
        "plt.title('Training and validation loss')\n",
        "plt.xlabel('Epochs')\n",
        "plt.ylabel('Loss')\n",
        "plt.legend()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 522
        },
        "id": "ekULT_4LXi6Z",
        "outputId": "30f33437-83a2-4806-9407-83db35bc4238"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "4/4 [==============================] - 0s 0s/step\n",
            "2/2 [==============================] - 0s 2ms/step\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "\n",
        "# scatterplot of actual vs. pred\n",
        "# specify the dimensions\n",
        "fig, axes = plt.subplots(1,2) # 1 row, 2 columns\n",
        "\n",
        "# this makes the individual subplots\n",
        "# Training Results\n",
        "axes[0].scatter(x=y_train, y=model.predict(X_train)) #first row, first entry (left top)\n",
        "axes[0].set_xlabel(\"Actual\", fontsize=10)\n",
        "axes[0].set_ylabel(\"Predicted\",  fontsize=10)\n",
        "axes[0].set_title(\"Training\")\n",
        "# add 45 deg line\n",
        "x = np.linspace(*axes[0].get_xlim())\n",
        "axes[0].plot(x, x, color='red')\n",
        "# Validation Results\n",
        "axes[1].scatter(x=y_test, y=model.predict(X_test)) # first row, second entry (right top)\n",
        "axes[1].set_xlabel(\"Actual\", fontsize=10)\n",
        "axes[1].set_ylabel(\"Predicted\",  fontsize=10)\n",
        "axes[1].set_title(\"Validation\")\n",
        "# add 45 deg line\n",
        "x = np.linspace(*axes[1].get_xlim())\n",
        "axes[1].plot(x, x, color='red')\n",
        "\n",
        "# tight layout\n",
        "fig.tight_layout()\n",
        "\n",
        "# show the plot\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hWZ02ZbIX4FU",
        "outputId": "894be864-9f33-4e58-efaf-2ff389b88d8f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "2/2 [==============================] - 0s 6ms/step\n",
            "4/4 [==============================] - 0s 3ms/step\n",
            "0.007461130162015944\n",
            "0.01366003690249054\n"
          ]
        }
      ],
      "source": [
        "# metrics\n",
        "pred = model.predict(X_test)\n",
        "pred\n",
        "\n",
        "trainpreds = model.predict(X_train)\n",
        "\n",
        "from sklearn.metrics import mean_absolute_error\n",
        "print(mean_absolute_error(y_train, trainpreds)) # train\n",
        "print(mean_absolute_error(y_test, pred)) # test"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fIcWrSMnX-7l"
      },
      "outputs": [],
      "source": [
        "from keras.layers import Dense, Dropout"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fVoCAVAiX9BD",
        "outputId": "a4d39da6-7b30-4228-c58b-b8a4e63a3f68"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Model: \"sequential_2\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " dense_7 (Dense)             (None, 1000)              7000      \n",
            "                                                                 \n",
            " dropout (Dropout)           (None, 1000)              0         \n",
            "                                                                 \n",
            " dense_8 (Dense)             (None, 500)               500500    \n",
            "                                                                 \n",
            " dropout_1 (Dropout)         (None, 500)               0         \n",
            "                                                                 \n",
            " dense_9 (Dense)             (None, 250)               125250    \n",
            "                                                                 \n",
            " dropout_2 (Dropout)         (None, 250)               0         \n",
            "                                                                 \n",
            " dense_10 (Dense)            (None, 1)                 251       \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 633001 (2.41 MB)\n",
            "Trainable params: 633001 (2.41 MB)\n",
            "Non-trainable params: 0 (0.00 Byte)\n",
            "_________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "from keras.layers import Dense, Dropout\n",
        "\n",
        "# Insert the dropout layer\n",
        "model = Sequential()\n",
        "model.add(Dense(1000, input_shape=(X_train.shape[1],), activation='relu')) # (features,)\n",
        "model.add(Dropout(0.5)) # specify a percentage between 0 and 0.5, or larger\n",
        "model.add(Dense(500, activation='relu'))\n",
        "model.add(Dropout(0.5)) # specify a percentage between 0 and 0.5, or larger\n",
        "model.add(Dense(250, activation='relu'))\n",
        "model.add(Dropout(0.5)) # specify a percentage between 0 and 0.5, or larger\n",
        "model.add(Dense(1, activation='linear')) # output node\n",
        "model.summary() # see what your model looks like"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.11.4"
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  "nbformat_minor": 0
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