Modelo_IA_Previsao_Vendas.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 5,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "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": "3.8.8"
    },
    "colab": {
      "name": "Modelo_IA_Previsao_Vendas.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/murilofarias10/AnaliseComPython/blob/main/Modelo_IA_Previsao_Vendas.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c83d6475"
      },
      "source": [
        "import pandas as pd #importando biblioteca pandas"
      ],
      "id": "c83d6475",
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "344b8334"
      },
      "source": [
        "base_dados = pd.read_csv(\"basedados.csv\") #importando base de dados"
      ],
      "id": "344b8334",
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "3d635b48",
        "outputId": "d656112b-86b1-4e99-e2db-0798c733d0eb"
      },
      "source": [
        "display(base_dados) #imprimindo base de dados"
      ],
      "id": "3d635b48",
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "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>TV</th>\n",
              "      <th>Radio</th>\n",
              "      <th>Jornal</th>\n",
              "      <th>Vendas</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>230.1</td>\n",
              "      <td>37.8</td>\n",
              "      <td>69.2</td>\n",
              "      <td>22.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>44.5</td>\n",
              "      <td>39.3</td>\n",
              "      <td>45.1</td>\n",
              "      <td>10.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>17.2</td>\n",
              "      <td>45.9</td>\n",
              "      <td>69.3</td>\n",
              "      <td>12.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>151.5</td>\n",
              "      <td>41.3</td>\n",
              "      <td>58.5</td>\n",
              "      <td>16.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>180.8</td>\n",
              "      <td>10.8</td>\n",
              "      <td>58.4</td>\n",
              "      <td>17.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>195</th>\n",
              "      <td>38.2</td>\n",
              "      <td>3.7</td>\n",
              "      <td>13.8</td>\n",
              "      <td>7.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>196</th>\n",
              "      <td>94.2</td>\n",
              "      <td>4.9</td>\n",
              "      <td>8.1</td>\n",
              "      <td>14.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>197</th>\n",
              "      <td>177.0</td>\n",
              "      <td>9.3</td>\n",
              "      <td>6.4</td>\n",
              "      <td>14.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>198</th>\n",
              "      <td>283.6</td>\n",
              "      <td>42.0</td>\n",
              "      <td>66.2</td>\n",
              "      <td>25.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>199</th>\n",
              "      <td>232.1</td>\n",
              "      <td>8.6</td>\n",
              "      <td>8.7</td>\n",
              "      <td>18.4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>200 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        TV  Radio  Jornal  Vendas\n",
              "0    230.1   37.8    69.2    22.1\n",
              "1     44.5   39.3    45.1    10.4\n",
              "2     17.2   45.9    69.3    12.0\n",
              "3    151.5   41.3    58.5    16.5\n",
              "4    180.8   10.8    58.4    17.9\n",
              "..     ...    ...     ...     ...\n",
              "195   38.2    3.7    13.8     7.6\n",
              "196   94.2    4.9     8.1    14.0\n",
              "197  177.0    9.3     6.4    14.8\n",
              "198  283.6   42.0    66.2    25.5\n",
              "199  232.1    8.6     8.7    18.4\n",
              "\n",
              "[200 rows x 4 columns]"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "collapsed": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "75eb23bd",
        "outputId": "8ef8a275-e75d-4cb5-c1e6-cce2c8c5ca80"
      },
      "source": [
        "print(base_dados.info()) #verificando a integridade da base de dados"
      ],
      "id": "75eb23bd",
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 200 entries, 0 to 199\n",
            "Data columns (total 4 columns):\n",
            " #   Column  Non-Null Count  Dtype  \n",
            "---  ------  --------------  -----  \n",
            " 0   TV      200 non-null    float64\n",
            " 1   Radio   200 non-null    float64\n",
            " 2   Jornal  200 non-null    float64\n",
            " 3   Vendas  200 non-null    float64\n",
            "dtypes: float64(4)\n",
            "memory usage: 6.4 KB\n",
            "None\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5356b26f"
      },
      "source": [
        "import seaborn as sns #importando biblioteca seaborn utilizada para estatisticas\n",
        "import matplotlib.pyplot as plt #importando biblioteca para visualização grafica"
      ],
      "id": "5356b26f",
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 726
        },
        "id": "7757dbdd",
        "outputId": "f4e0404f-d302-4c5b-eb9e-8debee943176"
      },
      "source": [
        "sns.pairplot(base_dados) #pairplot é o tipo de grafico que estamos utilizando da biblioteca seaborn\n",
        "plt.show() #utilizando o matplotlib será exibido o grafico realizado com seaborn\n",
        "\n",
        "#Foi gerado um grafico de disperção comparando as 4 colunas "
      ],
      "id": "7757dbdd",
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 720x720 with 20 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "collapsed": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "id": "c73a2da0",
        "outputId": "bb67687c-d234-4ded-b68b-f0bf4df7bb95"
      },
      "source": [
        "#utilizando o metodo heatmap \n",
        "#Entendendo .corr() para correlação , cmap = indica paleta de cores , True significa que os numero devem aparecer no grafico\n",
        "sns.heatmap(base_dados.corr(), cmap = 'Wistia', annot = True)\n",
        "plt.show()"
      ],
      "id": "c73a2da0",
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fc3c1935"
      },
      "source": [
        "#criando um modelo de inteligencia artificial\n",
        "#para calcular as futuras vendas de acordo com os investimentos em meios de comunicação\n",
        "\n",
        "from sklearn.model_selection import train_test_split #importando parte da biblioteca sklearn.model_selection\n",
        "\n",
        "#x será os inputs do modelo eixo X [será os valores nos diferentes meios de comunicação]\n",
        "#y será os outputs do modelo eixo Y [será a previsão de vendas de acordo com os valores inseridos]\n",
        "\n",
        "x = base_dados.drop('Vendas', axis=1) # excluindo a coluna vendas da base de dados para compor eixo X\n",
        "y = base_dados['Vendas'] #recebera os valores de venda de acordo com os investimentos\n"
      ],
      "id": "fc3c1935",
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5eca2c8b"
      },
      "source": [
        "#agora precisamos 1º treinar o modelo e 2º testar o modelo\n",
        "#como nossa base de dados existem 200 linhas com informações, vamos utilizar:\n",
        "#opção 1: utilizar 200 linhas para treinar\n",
        "#opção 2: utilizar 200 linhas para testar\n",
        "#opção 3: utlizar parte para treinar e parte para testar <<<<<<\n",
        "#                                        train_teste_split metodo que permite a divisao dos dados para treino e teste\n",
        "#                                                            30% será para teste e 70% será para treino\n",
        "x_train, x_test, y_train, y_test = train_test_split(x,y,test_size=0.3, random_state=1)"
      ],
      "id": "5eca2c8b",
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a40cae31"
      },
      "source": [
        "#utilizando metodo de regressão\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.ensemble import RandomForestRegressor\n",
        "from sklearn import metrics\n",
        "import numpy as np #biblioteca para calculos matematicos"
      ],
      "id": "a40cae31",
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "c7caa521",
        "outputId": "c9c0aef2-5868-44b1-9d9b-4b9920f13361"
      },
      "source": [
        "#TREINO INTELIGENCIA ARTIFICIAL\n",
        "\n",
        "#metodo REGRESSÃO LINEAR\n",
        "lin_reg = LinearRegression()\n",
        "lin_reg.fit(x_train, y_train) #utilizando apenas variaveis de treino\n",
        "\n",
        "#metodo RANDOM FOREST\n",
        "rf_reg = RandomForestRegressor()\n",
        "rf_reg.fit(x_train, y_train) #utilizando apenas variaveis de treino"
      ],
      "id": "c7caa521",
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',\n",
              "                      max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
              "                      max_samples=None, min_impurity_decrease=0.0,\n",
              "                      min_impurity_split=None, min_samples_leaf=1,\n",
              "                      min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
              "                      n_estimators=100, n_jobs=None, oob_score=False,\n",
              "                      random_state=None, verbose=0, warm_start=False)"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d8c7c0ca",
        "outputId": "08ada6e7-2837-4430-a8d1-6e7ca15ceaf1"
      },
      "source": [
        "#TESTES INTELIGENCIA ARTIFICIAL\n",
        "\n",
        "test_pred_lin = lin_reg.predict(x_test)\n",
        "\n",
        "test_pred_rf = rf_reg.predict(x_test)\n",
        "\n",
        "#Utilizando 2 indicadores estatisticos R² e o RSME\n",
        "r2_lin = metrics.r2_score(y_test, test_pred_lin)\n",
        "rmse_lin = np.sqrt(metrics.mean_squared_error(y_test, test_pred_lin))\n",
        "print(f\"R² da Regressão linear: {r2_lin}\")\n",
        "print(f\"RSME da Regressão linear:{rmse_lin}\")\n",
        "print(\"\\n\")\n",
        "r2_rf = metrics.r2_score(y_test, test_pred_rf)\n",
        "rmse_rf = np.sqrt(metrics.mean_squared_error(y_test, test_pred_rf))\n",
        "print(f\"R² da Random Forest: {r2_rf}\")\n",
        "print(f\"RSME da Random Forest:{rmse_rf}\")"
      ],
      "id": "d8c7c0ca",
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "R² da Regressão linear: 0.9071151423684272\n",
            "RSME da Regressão linear:1.539694765603124\n",
            "\n",
            "\n",
            "R² da Random Forest: 0.9607393705178553\n",
            "RSME da Random Forest:1.0010155010454813\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "c37d5255",
        "outputId": "d0258998-950d-4cdc-db48-aa2809b78124"
      },
      "source": [
        "#Gerando Grafico com Resultado\n",
        "base_dados_resultado = pd.DataFrame() #pd do panda\n",
        "#base_dados_resultado.index = x_teste\n",
        "\n",
        "base_dados_resultado['y_test'] = y_test #Linha Azul\n",
        "base_dados_resultado['y_previsao_lin'] = test_pred_lin # Verde Regressão Linear\n",
        "base_dados_resultado['y_previsao_rf'] = test_pred_rf #Laranja #Random Forest\n",
        "\n",
        "base_dados_resultado = base_dados_resultado.reset_index(drop=True)\n",
        "\n",
        "fig=plt.figure(figsize=(15,5))\n",
        "sns.lineplot(data=base_dados_resultado)\n",
        "plt.show()\n",
        "display(base_dados_resultado)\n",
        "\n",
        "#O grafico mostra os testes todos os 60 pontos (Total = 200*30% = 60 pontos)\n",
        "#Linha azul representa os dados reais (valor de venda da base real)\n",
        "#Linha laranja representa a previsão de vendas calculada pelo metodo de Regressão Linear\n",
        "#Linha verde representa a previsão de vendas calculada pela metodo de Random Forest \n",
        "#RESULTADO:\n",
        "#R² da Regressão linear: 0.9071151423684273\n",
        "#R² da Random Forest: 0.9639035311234372"
      ],
      "id": "c37d5255",
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "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>y_test</th>\n",
              "      <th>y_previsao_lin</th>\n",
              "      <th>y_previsao_rf</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>23.8</td>\n",
              "      <td>21.288161</td>\n",
              "      <td>23.299</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>16.6</td>\n",
              "      <td>18.042132</td>\n",
              "      <td>18.171</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>11.9</td>\n",
              "      <td>10.059590</td>\n",
              "      <td>12.648</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>19.8</td>\n",
              "      <td>21.082241</td>\n",
              "      <td>17.646</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>17.6</td>\n",
              "      <td>20.764760</td>\n",
              "      <td>20.163</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>25.5</td>\n",
              "      <td>24.471874</td>\n",
              "      <td>24.917</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>16.9</td>\n",
              "      <td>16.806436</td>\n",
              "      <td>16.874</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>17.9</td>\n",
              "      <td>15.628857</td>\n",
              "      <td>16.626</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>10.5</td>\n",
              "      <td>10.124799</td>\n",
              "      <td>10.949</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>17.1</td>\n",
              "      <td>18.846019</td>\n",
              "      <td>18.475</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>17.5</td>\n",
              "      <td>15.783897</td>\n",
              "      <td>16.694</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>11.3</td>\n",
              "      <td>10.542970</td>\n",
              "      <td>11.339</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>17.4</td>\n",
              "      <td>18.929287</td>\n",
              "      <td>19.075</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>16.7</td>\n",
              "      <td>15.525580</td>\n",
              "      <td>15.192</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>18.4</td>\n",
              "      <td>17.841271</td>\n",
              "      <td>17.910</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>15.9</td>\n",
              "      <td>15.241203</td>\n",
              "      <td>14.409</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>12.9</td>\n",
              "      <td>13.742128</td>\n",
              "      <td>12.316</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>17.8</td>\n",
              "      <td>21.064373</td>\n",
              "      <td>18.242</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>9.5</td>\n",
              "      <td>10.053927</td>\n",
              "      <td>8.374</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>18.4</td>\n",
              "      <td>19.265009</td>\n",
              "      <td>19.108</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>10.7</td>\n",
              "      <td>11.164512</td>\n",
              "      <td>12.493</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>12.5</td>\n",
              "      <td>11.972118</td>\n",
              "      <td>12.651</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>8.5</td>\n",
              "      <td>8.611790</td>\n",
              "      <td>8.168</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>11.5</td>\n",
              "      <td>11.989721</td>\n",
              "      <td>12.856</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>11.9</td>\n",
              "      <td>12.599140</td>\n",
              "      <td>12.102</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>19.9</td>\n",
              "      <td>16.844795</td>\n",
              "      <td>19.106</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>10.1</td>\n",
              "      <td>9.717089</td>\n",
              "      <td>10.251</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>18.9</td>\n",
              "      <td>21.094899</td>\n",
              "      <td>19.942</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>19.6</td>\n",
              "      <td>18.139425</td>\n",
              "      <td>19.001</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>20.9</td>\n",
              "      <td>19.550087</td>\n",
              "      <td>20.055</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>23.2</td>\n",
              "      <td>22.087962</td>\n",
              "      <td>22.289</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>16.9</td>\n",
              "      <td>17.785280</td>\n",
              "      <td>17.492</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>17.3</td>\n",
              "      <td>16.538835</td>\n",
              "      <td>15.493</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>16.7</td>\n",
              "      <td>14.773039</td>\n",
              "      <td>16.431</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>20.2</td>\n",
              "      <td>21.394589</td>\n",
              "      <td>20.033</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>20.5</td>\n",
              "      <td>16.954916</td>\n",
              "      <td>19.128</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>16.5</td>\n",
              "      <td>17.227550</td>\n",
              "      <td>16.976</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>11.0</td>\n",
              "      <td>12.318669</td>\n",
              "      <td>11.839</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>22.3</td>\n",
              "      <td>21.049822</td>\n",
              "      <td>22.125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>7.6</td>\n",
              "      <td>7.774739</td>\n",
              "      <td>7.568</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>5.3</td>\n",
              "      <td>5.384675</td>\n",
              "      <td>5.898</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>12.0</td>\n",
              "      <td>9.631390</td>\n",
              "      <td>11.366</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>6.7</td>\n",
              "      <td>6.895492</td>\n",
              "      <td>7.178</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>19.0</td>\n",
              "      <td>19.195074</td>\n",
              "      <td>18.822</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>5.5</td>\n",
              "      <td>7.881252</td>\n",
              "      <td>6.192</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>14.6</td>\n",
              "      <td>15.187667</td>\n",
              "      <td>13.754</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>14.6</td>\n",
              "      <td>13.709784</td>\n",
              "      <td>13.747</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>21.5</td>\n",
              "      <td>21.023294</td>\n",
              "      <td>21.691</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>22.6</td>\n",
              "      <td>20.535006</td>\n",
              "      <td>21.974</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>19.7</td>\n",
              "      <td>20.488675</td>\n",
              "      <td>20.093</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>25.4</td>\n",
              "      <td>24.860879</td>\n",
              "      <td>25.296</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>15.2</td>\n",
              "      <td>14.963043</td>\n",
              "      <td>14.271</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>6.6</td>\n",
              "      <td>7.335456</td>\n",
              "      <td>7.243</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>21.2</td>\n",
              "      <td>19.356303</td>\n",
              "      <td>21.737</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>17.4</td>\n",
              "      <td>21.325541</td>\n",
              "      <td>20.302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55</th>\n",
              "      <td>17.6</td>\n",
              "      <td>14.771976</td>\n",
              "      <td>16.372</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>17.2</td>\n",
              "      <td>17.196425</td>\n",
              "      <td>17.186</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>7.2</td>\n",
              "      <td>7.119887</td>\n",
              "      <td>7.370</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>18.4</td>\n",
              "      <td>18.300965</td>\n",
              "      <td>17.960</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>9.6</td>\n",
              "      <td>9.651582</td>\n",
              "      <td>10.230</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    y_test  y_previsao_lin  y_previsao_rf\n",
              "0     23.8       21.288161         23.299\n",
              "1     16.6       18.042132         18.171\n",
              "2     11.9       10.059590         12.648\n",
              "3     19.8       21.082241         17.646\n",
              "4     17.6       20.764760         20.163\n",
              "5     25.5       24.471874         24.917\n",
              "6     16.9       16.806436         16.874\n",
              "7     17.9       15.628857         16.626\n",
              "8     10.5       10.124799         10.949\n",
              "9     17.1       18.846019         18.475\n",
              "10    17.5       15.783897         16.694\n",
              "11    11.3       10.542970         11.339\n",
              "12    17.4       18.929287         19.075\n",
              "13    16.7       15.525580         15.192\n",
              "14    18.4       17.841271         17.910\n",
              "15    15.9       15.241203         14.409\n",
              "16    12.9       13.742128         12.316\n",
              "17    17.8       21.064373         18.242\n",
              "18     9.5       10.053927          8.374\n",
              "19    18.4       19.265009         19.108\n",
              "20    10.7       11.164512         12.493\n",
              "21    12.5       11.972118         12.651\n",
              "22     8.5        8.611790          8.168\n",
              "23    11.5       11.989721         12.856\n",
              "24    11.9       12.599140         12.102\n",
              "25    19.9       16.844795         19.106\n",
              "26    10.1        9.717089         10.251\n",
              "27    18.9       21.094899         19.942\n",
              "28    19.6       18.139425         19.001\n",
              "29    20.9       19.550087         20.055\n",
              "30    23.2       22.087962         22.289\n",
              "31    16.9       17.785280         17.492\n",
              "32    17.3       16.538835         15.493\n",
              "33    16.7       14.773039         16.431\n",
              "34    20.2       21.394589         20.033\n",
              "35    20.5       16.954916         19.128\n",
              "36    16.5       17.227550         16.976\n",
              "37    11.0       12.318669         11.839\n",
              "38    22.3       21.049822         22.125\n",
              "39     7.6        7.774739          7.568\n",
              "40     5.3        5.384675          5.898\n",
              "41    12.0        9.631390         11.366\n",
              "42     6.7        6.895492          7.178\n",
              "43    19.0       19.195074         18.822\n",
              "44     5.5        7.881252          6.192\n",
              "45    14.6       15.187667         13.754\n",
              "46    14.6       13.709784         13.747\n",
              "47    21.5       21.023294         21.691\n",
              "48    22.6       20.535006         21.974\n",
              "49    19.7       20.488675         20.093\n",
              "50    25.4       24.860879         25.296\n",
              "51    15.2       14.963043         14.271\n",
              "52     6.6        7.335456          7.243\n",
              "53    21.2       19.356303         21.737\n",
              "54    17.4       21.325541         20.302\n",
              "55    17.6       14.771976         16.372\n",
              "56    17.2       17.196425         17.186\n",
              "57     7.2        7.119887          7.370\n",
              "58    18.4       18.300965         17.960\n",
              "59     9.6        9.651582         10.230"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 349
        },
        "id": "c244782e",
        "outputId": "749b3a02-f757-4b39-cc4a-d580f439230b"
      },
      "source": [
        "#Como o modelo Random Forest foi o melhor\n",
        "#R² da Regressão linear: 0.9071151423684273\n",
        "#R² da Random Forest: 0.9639035311234372\n",
        "\n",
        "#Vamos verificar a caracteristica\n",
        "verificando_caracteristica = pd.DataFrame(rf_reg.feature_importances_, x_train.columns) #pd do panda\n",
        "\n",
        "plt.figure(figsize=(6,4))\n",
        "sns.barplot(x=verificando_caracteristica.index, y=verificando_caracteristica[0])\n",
        "plt.title(\"Investimento proposto por midia apos teste inteligencia artificial: \")\n",
        "print(verificando_caracteristica)\n",
        "plt.show()"
      ],
      "id": "c244782e",
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "               0\n",
            "TV      0.852818\n",
            "Radio   0.128815\n",
            "Jornal  0.018367\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "37500176",
        "outputId": "4ded2b37-9b87-4a4b-8e34-bd106c249250"
      },
      "source": [
        "print(base_dados)"
      ],
      "id": "37500176",
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "        TV  Radio  Jornal  Vendas\n",
            "0    230.1   37.8    69.2    22.1\n",
            "1     44.5   39.3    45.1    10.4\n",
            "2     17.2   45.9    69.3    12.0\n",
            "3    151.5   41.3    58.5    16.5\n",
            "4    180.8   10.8    58.4    17.9\n",
            "..     ...    ...     ...     ...\n",
            "195   38.2    3.7    13.8     7.6\n",
            "196   94.2    4.9     8.1    14.0\n",
            "197  177.0    9.3     6.4    14.8\n",
            "198  283.6   42.0    66.2    25.5\n",
            "199  232.1    8.6     8.7    18.4\n",
            "\n",
            "[200 rows x 4 columns]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 349
        },
        "id": "d154119a",
        "outputId": "383518ff-86d4-4d37-f1c8-6c81eb1bd94d"
      },
      "source": [
        "#Informações iniciais (antes do metodo de IA verificar a previsão)\n",
        "base_dados[\"Total\"] = base_dados[\"TV\"] + base_dados[\"Radio\"] + base_dados[\"Jornal\"]\n",
        "a = (sum(base_dados['TV'])) / (sum(base_dados['Total']))\n",
        "b = (sum(base_dados['Radio'])) / (sum(base_dados['Total']))\n",
        "c = (sum(base_dados['Jornal'])) / (sum(base_dados['Total']))\n",
        "\n",
        "total = a + b + c\n",
        "print('Investimento em: TV {0:.0%}'.format(a))\n",
        "print('Investimento em: Jornal {0:.0%}'.format(c))\n",
        "print('Investimento em: Radio {0:.0%}'.format(b))\n",
        "\n",
        "\n",
        "#Gerando tabela\n",
        "grupos = ['TV', 'Jornal', 'Radio']\n",
        "valores = [a,c,b]\n",
        "plt.bar(grupos, valores, color=['#3274a1', '#3a923a', '#e1812c'])\n",
        "plt.title(\"Investimento inicial por midia: \")\n",
        "plt.figure(figsize=(10,5))\n",
        "plt.show()\n"
      ],
      "id": "d154119a",
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Investimento em: TV 73%\n",
            "Investimento em: Jornal 15%\n",
            "Investimento em: Radio 12%\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 0 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9DHN3Ae0Q6l8",
        "outputId": "08f39724-5634-4fb1-addd-7751d90dd5bc"
      },
      "source": [
        "#Diferença\n",
        "Final_TV = 0.852818\n",
        "Final_Radio = 0.128815\n",
        "Final_Jornal = 0.018367\n",
        "\n",
        "diferenca_TV = (('{0:.0%}'.format(Final_TV - a) * 100)) #a = inicial TV\n",
        "diferenca_Radio = ('{0:.0%}'.format(Final_Radio - b) * 100) #b = inicial Radio\n",
        "diferenca_Jornal = ('{0:.0%}'.format(Final_Jornal - c) * 100) #c = inicial Jornal\n",
        "\n",
        "\n",
        "print('Diferença TV:', diferenca_TV)\n",
        "print('Diferenca Radio:', diferenca_Radio)\n",
        "print('Diferenca Jornal:', diferenca_Jornal)"
      ],
      "id": "9DHN3Ae0Q6l8",
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Diferença TV: 12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%12%\n",
            "Diferenca Radio: 1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%\n",
            "Diferenca Jornal: -13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%-13%\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}