Weather_data_set.ipynb

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          },
          "metadata": {},
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        }
      ],
      "source": [
        "import pandas as pd\n",
        "df = pd.read_csv(\"/content/drive/MyDrive/weather.xlsx.csv\")\n",
        "df"
      ]
    },
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              "    Unnamed: 0   OUTLOOK TEMPERATURE  \\\n",
              "0            0     Rainy         Hot   \n",
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              "                                          HUMIDITY  WINDY Play  \n",
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              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
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              "      height: 32px;\n",
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              "      width: 32px;\n",
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              "\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",
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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",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-185a5a20-dcae-46e8-aff2-e63c7a4911f9 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-185a5a20-dcae-46e8-aff2-e63c7a4911f9');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import LabelEncoder\n",
        "from sklearn.naive_bayes import GaussianNB\n"
      ],
      "metadata": {
        "id": "6YQcL9MQSKNa"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "outlook=LabelEncoder()\n",
        "Temp=LabelEncoder()\n",
        "Hum=LabelEncoder()\n",
        "win=LabelEncoder()"
      ],
      "metadata": {
        "id": "1SrnCppLSLg_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "inputs=df.drop('Play',axis='columns')\n",
        "target=df['Play']\n",
        "target"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lFdXl5dgSTuY",
        "outputId": "b0fd579a-f656-492c-8a7f-e65ace9c1622"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      No\n",
              "1      No\n",
              "2     YES\n",
              "3     YES\n",
              "4     YES\n",
              "5      NO\n",
              "6     YES\n",
              "7      No\n",
              "8     Yes\n",
              "9     Yes\n",
              "10    Yes\n",
              "11    Yes\n",
              "12    Yes\n",
              "13     No\n",
              "Name: Play, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "inputs['outlook_n']= outlook.fit_transform(inputs['OUTLOOK'])\n",
        "inputs['Temp_n']= Temp.fit_transform(inputs['TEMPERATURE'])\n",
        "inputs['Hum_n']= Hum.fit_transform(inputs['HUMIDITY'])\n",
        "inputs['win_n']= win.fit_transform(inputs['WINDY'])\n",
        "inputs"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "mdo9OIt6SbGm",
        "outputId": "b7bf6b9b-536c-4834-a302-6eee791013fd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Unnamed: 0   OUTLOOK TEMPERATURE  \\\n",
              "0            0     Rainy         Hot   \n",
              "1            1     Rainy         Hot   \n",
              "2            2  Overcast         Hot   \n",
              "3            3     Sunny        Mild   \n",
              "4            4     Sunny        Cool   \n",
              "5            5     Sunny        Cool   \n",
              "6            6  Overcast        Cool   \n",
              "7            7     Rainy        Mild   \n",
              "8            8     Rainy        Cool   \n",
              "9            9     Sunny        Mild   \n",
              "10          10     Rainy        Mild   \n",
              "11          11  Overcast        Mild   \n",
              "12          12  Overcast         Hot   \n",
              "13          13     Sunny        Mild   \n",
              "\n",
              "                                          HUMIDITY  WINDY  outlook_n  Temp_n  \\\n",
              "0                                             High  False          1       1   \n",
              "1                                             High   True          1       1   \n",
              "2                                             High  False          0       1   \n",
              "3                                             High  False          2       2   \n",
              "4                                           Normal  False          2       0   \n",
              "5                                           Normal   True          2       0   \n",
              "6                                           Normal   True          0       0   \n",
              "7   High                                            False          1       2   \n",
              "8                                           Normal  False          1       0   \n",
              "9                                           Normal  False          2       2   \n",
              "10                                          Normal   True          1       2   \n",
              "11                                            High   True          0       2   \n",
              "12                                          Normal  False          0       1   \n",
              "13                                            High   True          2       2   \n",
              "\n",
              "    Hum_n  win_n  \n",
              "0       0      0  \n",
              "1       0      1  \n",
              "2       0      0  \n",
              "3       0      0  \n",
              "4       2      0  \n",
              "5       2      1  \n",
              "6       2      1  \n",
              "7       1      0  \n",
              "8       2      0  \n",
              "9       2      0  \n",
              "10      2      1  \n",
              "11      0      1  \n",
              "12      2      0  \n",
              "13      0      1  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-62ef7bba-296c-4000-86bc-01e3d8e6d3c6\">\n",
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              "      <th>7</th>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-62ef7bba-296c-4000-86bc-01e3d8e6d3c6')\"\n",
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              "          const element = document.querySelector('#df-62ef7bba-296c-4000-86bc-01e3d8e6d3c6');\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",
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            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
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    {
      "cell_type": "code",
      "source": [
        "inputs_n=inputs.drop(['OUTLOOK','TEMPERATURE','HUMIDITY','WINDY'],axis='columns')\n",
        "inputs_n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "7CYX4KdFSkTk",
        "outputId": "7b99ce8d-9024-44b2-d419-224a94f24c5d"
      },
      "execution_count": null,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "    Unnamed: 0  outlook_n  Temp_n  Hum_n  win_n\n",
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              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>9</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>10</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>13</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1d7a670e-a4ea-4f00-8a09-b25da2a3f726')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-1d7a670e-a4ea-4f00-8a09-b25da2a3f726 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-1d7a670e-a4ea-4f00-8a09-b25da2a3f726');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "classifier = GaussianNB()\n",
        "classifier.fit(inputs_n,target)\n",
        "classifier.score(inputs_n,target)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QGxQ7zVqSsE2",
        "outputId": "dad4a0b9-f77a-4ed4-a594-2c23bbede9f8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9285714285714286"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "classifier.predict([[2,1,0,1,2]])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FaMz3qcDS9gf",
        "outputId": "70cd4520-f613-4db0-87b6-1c247806f3d2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/base.py:451: UserWarning: X does not have valid feature names, but GaussianNB was fitted with feature names\n",
            "  \"X does not have valid feature names, but\"\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['YES'], dtype='<U3')"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    }
  ]
}