Gold_Price_Prdiction (1).ipynb

{
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      "id": "c9cf365a",
      "metadata": {
        "id": "c9cf365a"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sqlalchemy import create_engine\n",
        "from sqlalchemy.engine import URL\n",
        "import pypyodbc as odbc\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.ensemble import RandomForestRegressor\n",
        "from sklearn import metrics"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "SERVER_NAME = 'DESKTOP-4RL1CTM'\n",
        "DATABASE_NAME = 'Gold_Price'\n",
        "connection_string = f\"\"\"\n",
        "Driver={{SQL Server}};\n",
        "# Driver={{SQL Server Native Client 11.0}};\n",
        "Server={SERVER_NAME};\n",
        "Database={DATABASE_NAME};\n",
        "Trusted_Connection=yes;\n",
        "\"\"\"\n",
        "\n",
        "# pandas_read_sql_query method supports either a SQLAlchemy connectable such as an engine or a connection object\n",
        "# or a SQLite DBAPI connection. For our use case, we will be constructing an ODBC connection.\n",
        "connection_url = URL.create(\"mssql+pyodbc\", query={\"odbc_connect\": connection_string})\n",
        "engine = create_engine (connection_url, module=odbc)\n",
        "\n",
        "\n",
        "sql_statement =\"\"\"\n",
        "SELECT * FROM gld_price_data\n",
        "\"\"\"\n"
      ],
      "metadata": {
        "id": "Vdr39yzWIEZq"
      },
      "id": "Vdr39yzWIEZq",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "gold_data = pd.read_sql_query(sql_statement, engine)"
      ],
      "metadata": {
        "id": "0O5eDX-3IJwH"
      },
      "id": "0O5eDX-3IJwH",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "55fc8602",
      "metadata": {
        "id": "55fc8602",
        "outputId": "6db1da69-a25a-4ac5-a933-d8a7d6b98f4c"
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        {
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Date</th>\n",
              "      <th>SPX</th>\n",
              "      <th>GLD</th>\n",
              "      <th>USO</th>\n",
              "      <th>SLV</th>\n",
              "      <th>EUR/USD</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1/2/2008</td>\n",
              "      <td>1447.160034</td>\n",
              "      <td>84.860001</td>\n",
              "      <td>78.470001</td>\n",
              "      <td>15.180</td>\n",
              "      <td>1.471692</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1/3/2008</td>\n",
              "      <td>1447.160034</td>\n",
              "      <td>85.570000</td>\n",
              "      <td>78.370003</td>\n",
              "      <td>15.285</td>\n",
              "      <td>1.474491</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1/4/2008</td>\n",
              "      <td>1411.630005</td>\n",
              "      <td>85.129997</td>\n",
              "      <td>77.309998</td>\n",
              "      <td>15.167</td>\n",
              "      <td>1.475492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1/7/2008</td>\n",
              "      <td>1416.180054</td>\n",
              "      <td>84.769997</td>\n",
              "      <td>75.500000</td>\n",
              "      <td>15.053</td>\n",
              "      <td>1.468299</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1/8/2008</td>\n",
              "      <td>1390.189941</td>\n",
              "      <td>86.779999</td>\n",
              "      <td>76.059998</td>\n",
              "      <td>15.590</td>\n",
              "      <td>1.557099</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Date          SPX        GLD        USO     SLV   EUR/USD\n",
              "0  1/2/2008  1447.160034  84.860001  78.470001  15.180  1.471692\n",
              "1  1/3/2008  1447.160034  85.570000  78.370003  15.285  1.474491\n",
              "2  1/4/2008  1411.630005  85.129997  77.309998  15.167  1.475492\n",
              "3  1/7/2008  1416.180054  84.769997  75.500000  15.053  1.468299\n",
              "4  1/8/2008  1390.189941  86.779999  76.059998  15.590  1.557099"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "gold_data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "64ac85d7",
      "metadata": {
        "id": "64ac85d7",
        "outputId": "3dc547ef-a15e-4cbd-cf85-44f7128c855c"
      },
      "outputs": [
        {
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Date</th>\n",
              "      <th>SPX</th>\n",
              "      <th>GLD</th>\n",
              "      <th>USO</th>\n",
              "      <th>SLV</th>\n",
              "      <th>EUR/USD</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2285</th>\n",
              "      <td>5/8/2018</td>\n",
              "      <td>2671.919922</td>\n",
              "      <td>124.589996</td>\n",
              "      <td>14.0600</td>\n",
              "      <td>15.5100</td>\n",
              "      <td>1.186789</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2286</th>\n",
              "      <td>5/9/2018</td>\n",
              "      <td>2697.790039</td>\n",
              "      <td>124.330002</td>\n",
              "      <td>14.3700</td>\n",
              "      <td>15.5300</td>\n",
              "      <td>1.184722</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2287</th>\n",
              "      <td>5/10/2018</td>\n",
              "      <td>2723.070068</td>\n",
              "      <td>125.180000</td>\n",
              "      <td>14.4100</td>\n",
              "      <td>15.7400</td>\n",
              "      <td>1.191753</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2288</th>\n",
              "      <td>5/14/2018</td>\n",
              "      <td>2730.129883</td>\n",
              "      <td>124.489998</td>\n",
              "      <td>14.3800</td>\n",
              "      <td>15.5600</td>\n",
              "      <td>1.193118</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2289</th>\n",
              "      <td>5/16/2018</td>\n",
              "      <td>2725.780029</td>\n",
              "      <td>122.543800</td>\n",
              "      <td>14.4058</td>\n",
              "      <td>15.4542</td>\n",
              "      <td>1.182033</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            ],
            "text/plain": [
              "           Date          SPX         GLD      USO      SLV   EUR/USD\n",
              "2285   5/8/2018  2671.919922  124.589996  14.0600  15.5100  1.186789\n",
              "2286   5/9/2018  2697.790039  124.330002  14.3700  15.5300  1.184722\n",
              "2287  5/10/2018  2723.070068  125.180000  14.4100  15.7400  1.191753\n",
              "2288  5/14/2018  2730.129883  124.489998  14.3800  15.5600  1.193118\n",
              "2289  5/16/2018  2725.780029  122.543800  14.4058  15.4542  1.182033"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "gold_data.tail()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "814a4f47",
      "metadata": {
        "id": "814a4f47",
        "outputId": "063fc8e4-575d-4b80-d2e4-f5b2574ab8fe"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(2290, 6)"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "gold_data.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "d8917ba0",
      "metadata": {
        "id": "d8917ba0",
        "outputId": "0860893c-febc-4fdb-ff7c-477c9401edc1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 2290 entries, 0 to 2289\n",
            "Data columns (total 6 columns):\n",
            " #   Column   Non-Null Count  Dtype  \n",
            "---  ------   --------------  -----  \n",
            " 0   Date     2290 non-null   object \n",
            " 1   SPX      2290 non-null   float64\n",
            " 2   GLD      2290 non-null   float64\n",
            " 3   USO      2290 non-null   float64\n",
            " 4   SLV      2290 non-null   float64\n",
            " 5   EUR/USD  2290 non-null   float64\n",
            "dtypes: float64(5), object(1)\n",
            "memory usage: 107.5+ KB\n"
          ]
        }
      ],
      "source": [
        "gold_data.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "69ce6181",
      "metadata": {
        "id": "69ce6181",
        "outputId": "56c2dbe6-2c0e-441e-debb-ef5195ba5315"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Date       0\n",
              "SPX        0\n",
              "GLD        0\n",
              "USO        0\n",
              "SLV        0\n",
              "EUR/USD    0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "gold_data.isnull().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "4fb3fc19",
      "metadata": {
        "id": "4fb3fc19",
        "outputId": "31449700-af2f-4e6c-c67d-334f2a501541"
      },
      "outputs": [
        {
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SPX</th>\n",
              "      <th>GLD</th>\n",
              "      <th>USO</th>\n",
              "      <th>SLV</th>\n",
              "      <th>EUR/USD</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>2290.000000</td>\n",
              "      <td>2290.000000</td>\n",
              "      <td>2290.000000</td>\n",
              "      <td>2290.000000</td>\n",
              "      <td>2290.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>1654.315776</td>\n",
              "      <td>122.732875</td>\n",
              "      <td>31.842221</td>\n",
              "      <td>20.084997</td>\n",
              "      <td>1.283653</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>519.111540</td>\n",
              "      <td>23.283346</td>\n",
              "      <td>19.523517</td>\n",
              "      <td>7.092566</td>\n",
              "      <td>0.131547</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>676.530029</td>\n",
              "      <td>70.000000</td>\n",
              "      <td>7.960000</td>\n",
              "      <td>8.850000</td>\n",
              "      <td>1.039047</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>1239.874969</td>\n",
              "      <td>109.725000</td>\n",
              "      <td>14.380000</td>\n",
              "      <td>15.570000</td>\n",
              "      <td>1.171313</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>1551.434998</td>\n",
              "      <td>120.580002</td>\n",
              "      <td>33.869999</td>\n",
              "      <td>17.268500</td>\n",
              "      <td>1.303297</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2073.010070</td>\n",
              "      <td>132.840004</td>\n",
              "      <td>37.827501</td>\n",
              "      <td>22.882500</td>\n",
              "      <td>1.369971</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2872.870117</td>\n",
              "      <td>184.589996</td>\n",
              "      <td>117.480003</td>\n",
              "      <td>47.259998</td>\n",
              "      <td>1.598798</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               SPX          GLD          USO          SLV      EUR/USD\n",
              "count  2290.000000  2290.000000  2290.000000  2290.000000  2290.000000\n",
              "mean   1654.315776   122.732875    31.842221    20.084997     1.283653\n",
              "std     519.111540    23.283346    19.523517     7.092566     0.131547\n",
              "min     676.530029    70.000000     7.960000     8.850000     1.039047\n",
              "25%    1239.874969   109.725000    14.380000    15.570000     1.171313\n",
              "50%    1551.434998   120.580002    33.869999    17.268500     1.303297\n",
              "75%    2073.010070   132.840004    37.827501    22.882500     1.369971\n",
              "max    2872.870117   184.589996   117.480003    47.259998     1.598798"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "gold_data.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "f26ec5ad",
      "metadata": {
        "id": "f26ec5ad"
      },
      "outputs": [],
      "source": [
        "correlation = gold_data.corr()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "e15edda0",
      "metadata": {
        "id": "e15edda0",
        "outputId": "17ca1bf4-599b-4f86-8066-4b54e02ed106"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<AxesSubplot:>"
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          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
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        {
          "data": {
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\n",
            "text/plain": [
              "<Figure size 800x800 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize = (8,8))\n",
        "sns.heatmap(correlation, cmap=\"YlGnBu\", annot=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "295e2cdf",
      "metadata": {
        "id": "295e2cdf",
        "outputId": "c20c2e17-8db6-4205-dbd2-94a553c2d78f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "SPX        0.049345\n",
            "GLD        1.000000\n",
            "USO       -0.186360\n",
            "SLV        0.866632\n",
            "EUR/USD   -0.024375\n",
            "Name: GLD, dtype: float64\n"
          ]
        }
      ],
      "source": [
        "print(correlation['GLD'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "98133cbf",
      "metadata": {
        "id": "98133cbf",
        "outputId": "3029d5c3-dd64-48c6-e95c-62874735bb6f"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "c:\\users\\santosh\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<AxesSubplot:xlabel='GLD', ylabel='Density'>"
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.distplot(gold_data['GLD'],color='green')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c5a37002",
      "metadata": {
        "id": "c5a37002"
      },
      "outputs": [],
      "source": [
        "X= gold_data.drop(['Date','GLD'],axis=1)\n",
        "Y= gold_data['GLD']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "888c1aa1",
      "metadata": {
        "id": "888c1aa1",
        "outputId": "ba3720cd-b2cf-4358-9406-edbb61cdf59f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "              SPX        USO      SLV   EUR/USD\n",
            "0     1447.160034  78.470001  15.1800  1.471692\n",
            "1     1447.160034  78.370003  15.2850  1.474491\n",
            "2     1411.630005  77.309998  15.1670  1.475492\n",
            "3     1416.180054  75.500000  15.0530  1.468299\n",
            "4     1390.189941  76.059998  15.5900  1.557099\n",
            "...           ...        ...      ...       ...\n",
            "2285  2671.919922  14.060000  15.5100  1.186789\n",
            "2286  2697.790039  14.370000  15.5300  1.184722\n",
            "2287  2723.070068  14.410000  15.7400  1.191753\n",
            "2288  2730.129883  14.380000  15.5600  1.193118\n",
            "2289  2725.780029  14.405800  15.4542  1.182033\n",
            "\n",
            "[2290 rows x 4 columns]\n"
          ]
        }
      ],
      "source": [
        "print(X)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "66f2f0fc",
      "metadata": {
        "id": "66f2f0fc",
        "outputId": "52731b5c-af68-460b-d618-6f487db714d2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "0        84.860001\n",
            "1        85.570000\n",
            "2        85.129997\n",
            "3        84.769997\n",
            "4        86.779999\n",
            "           ...    \n",
            "2285    124.589996\n",
            "2286    124.330002\n",
            "2287    125.180000\n",
            "2288    124.489998\n",
            "2289    122.543800\n",
            "Name: GLD, Length: 2290, dtype: float64\n"
          ]
        }
      ],
      "source": [
        "print(Y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "57f8f149",
      "metadata": {
        "id": "57f8f149"
      },
      "outputs": [],
      "source": [
        "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2, random_state=2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "a3c096ba",
      "metadata": {
        "id": "a3c096ba",
        "outputId": "7bb79a7a-d78e-44bf-e62b-9c16412d8e4f"
      },
      "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>SPX</th>\n",
              "      <th>USO</th>\n",
              "      <th>SLV</th>\n",
              "      <th>EUR/USD</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>476</th>\n",
              "      <td>1138.500000</td>\n",
              "      <td>39.790001</td>\n",
              "      <td>16.889999</td>\n",
              "      <td>1.361693</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1958</th>\n",
              "      <td>2202.939941</td>\n",
              "      <td>10.630000</td>\n",
              "      <td>15.800000</td>\n",
              "      <td>1.063886</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>248</th>\n",
              "      <td>700.820007</td>\n",
              "      <td>24.480000</td>\n",
              "      <td>12.770000</td>\n",
              "      <td>1.256408</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2231</th>\n",
              "      <td>2656.000000</td>\n",
              "      <td>11.890000</td>\n",
              "      <td>15.570000</td>\n",
              "      <td>1.225280</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1325</th>\n",
              "      <td>1838.880005</td>\n",
              "      <td>33.040001</td>\n",
              "      <td>19.420000</td>\n",
              "      <td>1.366998</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              SPX        USO        SLV   EUR/USD\n",
              "476   1138.500000  39.790001  16.889999  1.361693\n",
              "1958  2202.939941  10.630000  15.800000  1.063886\n",
              "248    700.820007  24.480000  12.770000  1.256408\n",
              "2231  2656.000000  11.890000  15.570000  1.225280\n",
              "1325  1838.880005  33.040001  19.420000  1.366998"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X_train.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c638e856",
      "metadata": {
        "id": "c638e856"
      },
      "outputs": [],
      "source": [
        "regressor = RandomForestRegressor(n_estimators=100)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "cfa5f2aa",
      "metadata": {
        "id": "cfa5f2aa",
        "outputId": "dd8c9a4c-2c77-4947-c7a8-845faeaf34cd"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "RandomForestRegressor()"
            ]
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "regressor.fit(X_train,Y_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "791db460",
      "metadata": {
        "id": "791db460"
      },
      "outputs": [],
      "source": [
        "test_data_prediction = regressor.predict(X_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "33a3a161",
      "metadata": {
        "id": "33a3a161",
        "outputId": "93f965f3-a816-4aea-db59-137d509cc7d4"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[168.62059926  82.0827999  116.00670021 127.67370075 120.77570091\n",
            " 154.71849805 150.13349803 126.29460044 117.53099888 126.04690059\n",
            " 116.8788012  172.02020048 141.29599873 167.92879893 115.00240014\n",
            " 117.67120055 138.26150408 170.25250112 159.41490344 158.99509832\n",
            " 155.18060025 124.7807001  176.11349988 156.70000337 125.21500044\n",
            "  93.6291998   77.8603005  120.5720001  119.1612     167.40630022\n",
            "  88.11640038 125.37550024  90.96040072 117.62660053 121.15449941\n",
            " 136.62820059 115.34440113 115.32700079 148.1475996  107.34920129\n",
            " 103.9957025   87.08659774 126.5349008  118.00950006 155.22399922\n",
            " 119.71489978 108.37899991 108.26569849  93.04350024 127.06759799\n",
            "  74.67050025 113.64799874 121.32220006 111.26159939 118.89199876\n",
            " 120.42739939 159.21569984 167.63690123 147.05689665  85.56049832\n",
            "  94.35830038  86.68579839  90.61220013 118.89650061 126.39960067\n",
            " 127.54550002 169.23779962 122.25869899 117.40789898  98.51020024\n",
            " 167.31290121 143.00409799 132.08830286 121.15050217 121.13979974\n",
            " 119.72460081 114.44100202 118.4596002  107.26300123 127.90850025\n",
            " 113.95339984 107.43359997 116.8676007  119.79009867  88.97120068\n",
            "  88.26249871 146.88220245 127.17319983 113.17950036 110.63919811\n",
            " 108.27129893  76.95759935 168.99130144 114.12629916 121.50799942\n",
            " 127.7584019  154.88389849  91.76799976 135.31890144 158.54720298\n",
            " 125.57730066 125.57560048 130.48070148 114.74800166 119.6957001\n",
            "  92.09509981 110.09129889 165.87409881 157.27519866 114.27699947\n",
            " 106.60620117  80.16919943 113.25270022 125.82280053 107.61609934\n",
            " 119.60070107 155.95910294 159.38529946 120.1531     135.99210293\n",
            " 101.59129991 117.5673979  119.24630022 112.90390099 102.7724992\n",
            " 160.32179774  99.00440062 148.28819841 125.60460102 170.02689913\n",
            " 125.84779796 127.37109748 127.36780196 113.79889935 112.9920008\n",
            " 123.59289885 102.15329879  89.13539994 124.65999973 101.53699942\n",
            " 107.16569884 113.47240078 117.63390098  98.92529951 121.7233006\n",
            " 163.66719899  87.35689873 107.02249987 117.23540088 127.70620097\n",
            " 124.06860076  80.63709914 120.34150048 158.31659857  87.89190007\n",
            " 110.1236999  118.84749905 172.85459828 102.91719917 105.49880057\n",
            " 122.74550045 158.28389804  87.42099818  93.14880012 112.67660043\n",
            " 177.03309928 114.47579957 119.36640028  94.90870114 125.70310017\n",
            " 165.7129014  114.73350074 116.8759014   88.28859858 148.56370051\n",
            " 120.38089948  89.61739961 111.79650006 117.13080015 118.80740107\n",
            "  88.26959953  94.17969989 116.89820033 118.53030201 120.4230006\n",
            " 126.72929841 121.8955997  149.20620023 164.91690062 118.52209959\n",
            " 120.12860124 150.27940027 118.20439936 173.28669817 105.20289935\n",
            " 104.98930137 149.24510051 113.64300082 124.85260089 147.92319967\n",
            " 119.76150132 115.35220059 112.09029998 113.35080217 142.51610144\n",
            " 117.71199802 102.92220033 115.75220095 103.33910186  98.65120045\n",
            " 117.53140047  90.74430015  91.45230042 153.4519991  102.6590997\n",
            " 155.2039004  114.29050164 138.37840086  90.193198   115.51239916\n",
            " 114.65820004 123.13510052 121.85130007 165.31320157  92.80679938\n",
            " 135.88560152 121.36959913 120.71440069 104.74880009 141.63170355\n",
            " 121.79579893 116.51210042 113.53080119 127.24249743 122.60439955\n",
            " 125.82639977 121.1911005   86.90399868 132.16170156 144.27950243\n",
            "  92.78789954 160.14939949 158.73730243 126.19719916 164.97969899\n",
            " 108.96349968 110.05700079 103.70129833  94.24370067 127.74590238\n",
            " 107.03160036 161.75169974 121.8027004  132.00320001 130.53760168\n",
            " 160.59770004  90.19159829 174.74920156 127.86910075 126.7195987\n",
            "  86.37679944 124.5115996  150.20679723  89.71789996 107.11449992\n",
            " 108.85569985  84.48829903 135.99840036 155.10970186 139.20830418\n",
            "  74.1171004  152.39920107 125.88179967 126.76610013 127.46559888\n",
            " 108.42839941 156.38339989 114.48600159 117.00850138 125.21149945\n",
            " 154.14460124 121.47709998 156.41539875  92.93730069 125.49440127\n",
            " 125.4696006   87.80320039  92.13909947 126.28859918 127.93240292\n",
            " 113.10780019 117.73319763 121.04239972 127.17399809 119.83550073\n",
            " 136.49790073  93.88819957 119.63470011 113.21810107  94.20729929\n",
            " 108.65930017  87.1562993  109.08759942  89.63359984  92.27950022\n",
            " 131.50200271 162.5859002   89.44910014 119.70320073 133.44290205\n",
            " 123.81350001 128.15590092 101.98229848  89.13569867 131.89670109\n",
            " 119.73310031 108.59199986 169.01580125 115.10130035  86.67829912\n",
            " 118.92140043  91.02879949 161.77740007 116.20399993 121.65870014\n",
            " 160.3975985  119.82249958 112.94749944 108.39779867 126.74500034\n",
            "  76.10370057 103.01099974 127.69030213 121.94309902  92.53929975\n",
            " 131.72140041 118.37210155 116.40489992 154.50740276 159.57030062\n",
            " 110.04089956 154.69309761 119.24320068 160.70820116 118.42160043\n",
            " 156.88399956 115.11199933 116.78050041 149.37669895 114.74880076\n",
            " 126.01489882 166.75319929 117.69710026 125.30509936 153.24650363\n",
            " 153.40050245 132.40270071 114.84460056 121.2234021  124.85930041\n",
            "  89.69360048 123.08859977 155.11840104 111.75580033 106.84819989\n",
            " 162.00090172 118.59760006 165.63189967 134.24720073 115.05909959\n",
            " 153.04039925 168.89170088 114.53480003 114.00340134 158.20019856\n",
            "  85.45119901 127.13760052 127.96580097 129.16359998 124.16260068\n",
            " 123.90380078  90.53740106 153.28260023  97.08800001 137.18149936\n",
            "  89.09689883 107.4088     115.1304007  112.81720098 124.40889926\n",
            "  91.37659889 125.30400105 162.58779904 119.87669872 165.26490138\n",
            " 126.82629829 112.43050009 127.6228993   94.86219914  91.16659989\n",
            " 103.145799   120.92709988  83.12089953 126.3912999  160.10620459\n",
            " 117.14450075 118.23549973 119.8691     122.71769962 120.14090135\n",
            " 121.64069955 118.0068007  107.08429963 147.88169942 126.12389838\n",
            " 115.66290074  73.82239997 127.861301   154.71130009 122.46229991\n",
            " 125.57030064  88.94119998 103.63979883 124.66640057 120.31650032\n",
            "  73.36750091 152.00109954 121.10470025 104.59550049  86.44619789\n",
            " 115.08929896 172.23219899 120.04360036 158.51499867 113.19499936\n",
            " 121.04259995 118.79780107  95.87579989 118.59270033 125.51560034\n",
            " 118.41369944  95.74440054 153.92250169 122.32280028 147.66829987\n",
            " 158.98740298 113.69640032 122.49989941 150.1779978  126.91420065\n",
            " 166.02020067 135.60280016 119.90079943 167.25059856 108.56569933\n",
            " 121.81479846 141.19190157 106.64529894]\n"
          ]
        }
      ],
      "source": [
        "print(test_data_prediction)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "6d7fe202",
      "metadata": {
        "id": "6d7fe202"
      },
      "outputs": [],
      "source": [
        "error_score = metrics.r2_score(Y_test, test_data_prediction)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "e02e59cc",
      "metadata": {
        "id": "e02e59cc",
        "outputId": "32bed19e-f62a-4363-e766-08b09fb3899a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "R squared error :  0.9890469440347325\n"
          ]
        }
      ],
      "source": [
        "print(\"R squared error : \", error_score)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "9ccf70df",
      "metadata": {
        "id": "9ccf70df"
      },
      "outputs": [],
      "source": [
        "Y_test = list(Y_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "03a7760d",
      "metadata": {
        "id": "03a7760d",
        "outputId": "89312a6c-fe67-4aa5-bfdf-a5d56823b270"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x110c41f2320>]"
            ]
          },
          "execution_count": 29,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.plot(Y_test, color='blue', label = 'Actual Value')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "595a4f2c",
      "metadata": {
        "id": "595a4f2c",
        "outputId": "11c70cf2-7f0c-419c-dd9e-b4ab2c6ed856"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.plot(Y_test, color='blue', label = 'Actual Value')\n",
        "plt.plot(test_data_prediction, color='green', label='Predicted Value')\n",
        "plt.title('Actual Price vs Predicted Price')\n",
        "plt.xlabel('Number of values')\n",
        "plt.ylabel('GLD Price')\n",
        "plt.legend()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "88915eeb",
      "metadata": {
        "id": "88915eeb",
        "outputId": "306c074a-a9d5-4378-993b-60df13e1c202"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "c:\\users\\santosh\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\sklearn\\base.py:451: UserWarning: X does not have valid feature names, but RandomForestRegressor was fitted with feature names\n",
            "  \"X does not have valid feature names, but\"\n"
          ]
        }
      ],
      "source": [
        "input_data = (1447.160034, 78.470001, 15.1800, 1.471692)\n",
        "input_data_as_numpy_array = np.asarray(input_data)\n",
        "input_data_reshaped = input_data_as_numpy_array.reshape(1,-1)\n",
        "prediction = regressor.predict(input_data_reshaped)[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "e4e076b1",
      "metadata": {
        "id": "e4e076b1",
        "outputId": "eaf9934b-5c30-457b-fac6-cb4e146e1578"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "85.04600012999995"
            ]
          },
          "execution_count": 32,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "prediction"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c06eb5f7",
      "metadata": {
        "id": "c06eb5f7"
      },
      "outputs": [],
      "source": [
        "import pickle"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "5862d671",
      "metadata": {
        "id": "5862d671"
      },
      "outputs": [],
      "source": [
        "pickle.dump(regressor, open(\"gold_price_predictor.pkl\",\"wb\"))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "2f9391bd",
      "metadata": {
        "id": "2f9391bd"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.3"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}