Video_game_sales_prediction.ipynb

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      "name": "Video game sales prediction.ipynb",
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      "source": [
        "# Importing necessary libraries\n",
        "\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline \n",
        "\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.svm import SVR\n",
        "from sklearn.model_selection import train_test_split"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "games = pd.read_csv('/content/video_games_sales.csv')\n",
        "\n",
        "games.head(3)"
      ],
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              "                Name Platform  Year_of_Release     Genre Publisher  NA_Sales  \\\n",
              "0         Wii Sports      Wii           2006.0    Sports  Nintendo     41.36   \n",
              "1  Super Mario Bros.      NES           1985.0  Platform  Nintendo     29.08   \n",
              "2     Mario Kart Wii      Wii           2008.0    Racing  Nintendo     15.68   \n",
              "\n",
              "   EU_Sales  JP_Sales  Other_Sales  Global_Sales  Critic_Score  Critic_Count  \\\n",
              "0     28.96      3.77         8.45         82.53          76.0          51.0   \n",
              "1      3.58      6.81         0.77         40.24           NaN           NaN   \n",
              "2     12.76      3.79         3.29         35.52          82.0          73.0   \n",
              "\n",
              "  User_Score  User_Count Developer Rating  \n",
              "0          8       322.0  Nintendo      E  \n",
              "1        NaN         NaN       NaN    NaN  \n",
              "2        8.3       709.0  Nintendo      E  "
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      "cell_type": "code",
      "source": [
        "games.shape"
      ],
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          "base_uri": "https://localhost:8080/"
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              "(16719, 16)"
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    {
      "cell_type": "code",
      "source": [
        "# Even from one glance you can see that there are many categorical type data which we will handle in Feature Engineering."
      ],
      "metadata": {
        "id": "cGr4vwgF1aMG"
      },
      "execution_count": 4,
      "outputs": []
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    {
      "cell_type": "code",
      "source": [
        "games.isnull().sum()"
      ],
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        "colab": {
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        "id": "yCeE6Vrt1cg4",
        "outputId": "b28d82e2-6b11-40a8-e83a-18fef8534e21"
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      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Name                  2\n",
              "Platform              0\n",
              "Year_of_Release     269\n",
              "Genre                 2\n",
              "Publisher            54\n",
              "NA_Sales              0\n",
              "EU_Sales              0\n",
              "JP_Sales              0\n",
              "Other_Sales           0\n",
              "Global_Sales          0\n",
              "Critic_Score       8582\n",
              "Critic_Count       8582\n",
              "User_Score         6704\n",
              "User_Count         9129\n",
              "Developer          6623\n",
              "Rating             6769\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "games['Rating'][1] == np.nan"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kvps2SvI1f5o",
        "outputId": "59525846-4964-44e7-b6ac-ae9102a76748"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {},
          "execution_count": 6
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      "cell_type": "code",
      "source": [
        "# Since finding the sales (I am taking other_sales as I am Indian, you can take NA or Eu sales also) is the objective, for all the null \n",
        "# values in rating and user_score we are directly going to remove those rows.\n",
        "\n",
        "games_filtered = games[games['Rating'].notna()]\n",
        "\n",
        "games_filtered.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "77nwmDRq1jW1",
        "outputId": "d866370b-e84b-447a-ff4d-3c9ee8630d10"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Name                  0\n",
              "Platform              0\n",
              "Year_of_Release     181\n",
              "Genre                 0\n",
              "Publisher             7\n",
              "NA_Sales              0\n",
              "EU_Sales              0\n",
              "JP_Sales              0\n",
              "Other_Sales           0\n",
              "Global_Sales          0\n",
              "Critic_Score       1896\n",
              "Critic_Count       1896\n",
              "User_Score           71\n",
              "User_Count         2446\n",
              "Developer             0\n",
              "Rating                0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
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      "cell_type": "code",
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        "games_filtered.shape"
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      "execution_count": 8,
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            "text/plain": [
              "(9950, 16)"
            ]
          },
          "metadata": {},
          "execution_count": 8
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    },
    {
      "cell_type": "code",
      "source": [
        "games_filtered['Year_of_Release'].value_counts()"
      ],
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      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2009.0    1011\n",
              "2008.0     981\n",
              "2007.0     821\n",
              "2010.0     799\n",
              "2005.0     706\n",
              "2011.0     703\n",
              "2006.0     678\n",
              "2002.0     655\n",
              "2003.0     613\n",
              "2004.0     598\n",
              "2012.0     355\n",
              "2014.0     345\n",
              "2001.0     339\n",
              "2013.0     316\n",
              "2015.0     315\n",
              "2016.0     280\n",
              "2000.0     148\n",
              "1999.0      42\n",
              "1998.0      32\n",
              "1997.0      19\n",
              "1996.0       7\n",
              "1992.0       2\n",
              "1994.0       1\n",
              "2020.0       1\n",
              "1985.0       1\n",
              "1988.0       1\n",
              "Name: Year_of_Release, dtype: int64"
            ]
          },
          "metadata": {},
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    },
    {
      "cell_type": "code",
      "source": [
        "games_filtered['Publisher'].value_counts()"
      ],
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          "base_uri": "https://localhost:8080/"
        },
        "id": "TV4MWYAf11Uz",
        "outputId": "fd500df6-ea80-4436-8025-580dedbab726"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Electronic Arts                 1139\n",
              "Ubisoft                          784\n",
              "Activision                       781\n",
              "THQ                              532\n",
              "Konami Digital Entertainment     382\n",
              "                                ... \n",
              "Mercury Games                      1\n",
              "Pacific Century Cyber Works        1\n",
              "iWin                               1\n",
              "NDA Productions                    1\n",
              "Mentor Interactive                 1\n",
              "Name: Publisher, Length: 332, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "games_filtered['User_Score'].value_counts()\n",
        "# tbd is to be decided."
      ],
      "metadata": {
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          "base_uri": "https://localhost:8080/"
        },
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        "outputId": "0c246dc4-ceea-4d3f-a14e-878cfec045f5"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tbd    2375\n",
              "7.8     322\n",
              "8       286\n",
              "8.2     278\n",
              "8.5     252\n",
              "       ... \n",
              "1.1       2\n",
              "1.9       2\n",
              "9.6       2\n",
              "0         1\n",
              "9.7       1\n",
              "Name: User_Score, Length: 96, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Now for this project I will remove all null values but what you can do is fill some of them up apart those that I have and see if\n",
        "# they help in getting more accuracy from the model that you build.\n",
        "\n",
        "df1 = games_filtered[games_filtered['Critic_Score'].notna()]\n",
        "df2 = df1[df1['Critic_Score'].notna()]\n",
        "df3 = df2[df2['Critic_Count'].notna()]\n",
        "df4 = df3[df3['User_Count'].notna()]\n",
        "\n",
        "df4['Year_of_Release'].fillna(2009.0, inplace=True)\n",
        "df4['Publisher'].fillna(\"Electronic Arts\", inplace = True)\n",
        "df4['User_Score'].fillna(\"tbd\", inplace =True)\n",
        "\n",
        "df4.isnull().sum()"
      ],
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        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/pandas/core/generic.py:6392: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return self._update_inplace(result)\n"
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            "text/plain": [
              "Name               0\n",
              "Platform           0\n",
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      "cell_type": "code",
      "source": [
        "# Now if we were working on an industry level project, removing so many data-points won't be allowed. You will have to work more on the dataset.\n",
        "# But for project level, we can do this as our main purpose in to understand and build a machine learning model not train a highly perceptive ml \n",
        "# model. This dataset can be a prime example of how in real life you will get your dataset; having lots of irregular and null values \n",
        "# which needs alot of preprocessing."
      ],
      "metadata": {
        "id": "J3ezr2sP2DHL"
      },
      "execution_count": 13,
      "outputs": []
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      "cell_type": "code",
      "source": [
        "df4.describe()"
      ],
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          "height": 364
        },
        "id": "jsya8mUR2FkN",
        "outputId": "be1ab610-c49e-4f44-be95-3a9b61532165"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Year_of_Release     NA_Sales     EU_Sales     JP_Sales  Other_Sales  \\\n",
              "count      6947.000000  6947.000000  6947.000000  6947.000000  6947.000000   \n",
              "mean       2007.464517     0.392840     0.234648     0.063236     0.082189   \n",
              "std           4.179323     0.961157     0.682293     0.285257     0.267832   \n",
              "min        1985.000000     0.000000     0.000000     0.000000     0.000000   \n",
              "25%        2004.000000     0.060000     0.020000     0.000000     0.010000   \n",
              "50%        2007.000000     0.150000     0.060000     0.000000     0.020000   \n",
              "75%        2010.000000     0.390000     0.210000     0.010000     0.070000   \n",
              "max        2016.000000    41.360000    28.960000     6.500000    10.570000   \n",
              "\n",
              "       Global_Sales  Critic_Score  Critic_Count    User_Count  \n",
              "count   6947.000000   6947.000000   6947.000000   6947.000000  \n",
              "mean       0.773098     70.263567     28.873615    173.821362  \n",
              "std        1.948883     13.888922     19.195731    584.511840  \n",
              "min        0.010000     13.000000      3.000000      4.000000  \n",
              "25%        0.110000     62.000000     14.000000     11.000000  \n",
              "50%        0.290000     72.000000     24.000000     27.000000  \n",
              "75%        0.750000     80.000000     39.000000     88.000000  \n",
              "max       82.530000     98.000000    113.000000  10665.000000  "
            ],
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              "\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Year_of_Release</th>\n",
              "      <th>NA_Sales</th>\n",
              "      <th>EU_Sales</th>\n",
              "      <th>JP_Sales</th>\n",
              "      <th>Other_Sales</th>\n",
              "      <th>Global_Sales</th>\n",
              "      <th>Critic_Score</th>\n",
              "      <th>Critic_Count</th>\n",
              "      <th>User_Count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>6947.000000</td>\n",
              "      <td>6947.000000</td>\n",
              "      <td>6947.000000</td>\n",
              "      <td>6947.000000</td>\n",
              "      <td>6947.000000</td>\n",
              "      <td>6947.000000</td>\n",
              "      <td>6947.000000</td>\n",
              "      <td>6947.000000</td>\n",
              "      <td>6947.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2007.464517</td>\n",
              "      <td>0.392840</td>\n",
              "      <td>0.234648</td>\n",
              "      <td>0.063236</td>\n",
              "      <td>0.082189</td>\n",
              "      <td>0.773098</td>\n",
              "      <td>70.263567</td>\n",
              "      <td>28.873615</td>\n",
              "      <td>173.821362</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>4.179323</td>\n",
              "      <td>0.961157</td>\n",
              "      <td>0.682293</td>\n",
              "      <td>0.285257</td>\n",
              "      <td>0.267832</td>\n",
              "      <td>1.948883</td>\n",
              "      <td>13.888922</td>\n",
              "      <td>19.195731</td>\n",
              "      <td>584.511840</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1985.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>13.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>4.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2004.000000</td>\n",
              "      <td>0.060000</td>\n",
              "      <td>0.020000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.110000</td>\n",
              "      <td>62.000000</td>\n",
              "      <td>14.000000</td>\n",
              "      <td>11.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2007.000000</td>\n",
              "      <td>0.150000</td>\n",
              "      <td>0.060000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.020000</td>\n",
              "      <td>0.290000</td>\n",
              "      <td>72.000000</td>\n",
              "      <td>24.000000</td>\n",
              "      <td>27.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2010.000000</td>\n",
              "      <td>0.390000</td>\n",
              "      <td>0.210000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.070000</td>\n",
              "      <td>0.750000</td>\n",
              "      <td>80.000000</td>\n",
              "      <td>39.000000</td>\n",
              "      <td>88.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>41.360000</td>\n",
              "      <td>28.960000</td>\n",
              "      <td>6.500000</td>\n",
              "      <td>10.570000</td>\n",
              "      <td>82.530000</td>\n",
              "      <td>98.000000</td>\n",
              "      <td>113.000000</td>\n",
              "      <td>10665.000000</td>\n",
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              "  </tbody>\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "                                                     [key], {});\n",
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              "          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": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8,8))\n",
        "sns.heatmap(df4.corr(),annot=True,cmap='viridis',linewidths=.5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 574
        },
        "id": "VMoMRBK02J9J",
        "outputId": "8523513e-b547-407c-afc5-a87bfd407db0"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f6336b4e910>"
            ]
          },
          "metadata": {},
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x576 with 2 Axes>"
            ],
            "image/png": 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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "filtered_df = df4.drop(['Global_Sales'], axis=1)\n",
        "\n",
        "filtered_df.head(3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "id": "iHok14Gq2QXN",
        "outputId": "d7921167-7c36-42a7-af0a-ed282ddb23b9"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                Name Platform  Year_of_Release   Genre Publisher  NA_Sales  \\\n",
              "0         Wii Sports      Wii           2006.0  Sports  Nintendo     41.36   \n",
              "2     Mario Kart Wii      Wii           2008.0  Racing  Nintendo     15.68   \n",
              "3  Wii Sports Resort      Wii           2009.0  Sports  Nintendo     15.61   \n",
              "\n",
              "   EU_Sales  JP_Sales  Other_Sales  Critic_Score  Critic_Count User_Score  \\\n",
              "0     28.96      3.77         8.45          76.0          51.0          8   \n",
              "2     12.76      3.79         3.29          82.0          73.0        8.3   \n",
              "3     10.93      3.28         2.95          80.0          73.0          8   \n",
              "\n",
              "   User_Count Developer Rating  \n",
              "0       322.0  Nintendo      E  \n",
              "2       709.0  Nintendo      E  \n",
              "3       192.0  Nintendo      E  "
            ],
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              "        const buttonEl =\n",
              "          document.querySelector('#df-097d4841-b39e-4d2e-92b1-92e62d24cad2 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-097d4841-b39e-4d2e-92b1-92e62d24cad2');\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": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Finding categorical type data columns in our dataset.\n",
        "\n",
        "filtered_df['Platform'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6kLOClUF2TKQ",
        "outputId": "f9b243ff-f605-423e-afba-576de6083e84"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "PS2     1161\n",
              "X360     877\n",
              "PS3      783\n",
              "PC       667\n",
              "XB       580\n",
              "Wii      491\n",
              "DS       468\n",
              "PSP      393\n",
              "GC       356\n",
              "GBA      241\n",
              "PS4      239\n",
              "XOne     159\n",
              "3DS      157\n",
              "PS       153\n",
              "PSV      119\n",
              "WiiU      89\n",
              "DC        14\n",
              "Name: Platform, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# From all the above categories that we got, I am going to reduce the categories to only 5 values"
      ],
      "metadata": {
        "id": "ye06Lu1t2WuB"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "def platform(x):\n",
        "  if x == 'PS2':\n",
        "    return 'PS2'\n",
        "  elif x == 'X360':\n",
        "    return 'X360'\n",
        "  elif x == 'PS3':\n",
        "    return 'PS3'\n",
        "  elif x == 'PC':\n",
        "    return 'PC'\n",
        "  else:\n",
        "    return 'other_console'\n",
        "\n",
        "filtered_df['Platform_new'] = filtered_df['Platform'].map(platform)\n",
        "\n",
        "filtered_df.head(1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 162
        },
        "id": "Iv10KDfL2cE3",
        "outputId": "346cdc76-d775-43e2-ff2a-0971b43f4857"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Name Platform  Year_of_Release   Genre Publisher  NA_Sales  EU_Sales  \\\n",
              "0  Wii Sports      Wii           2006.0  Sports  Nintendo     41.36     28.96   \n",
              "\n",
              "   JP_Sales  Other_Sales  Critic_Score  Critic_Count User_Score  User_Count  \\\n",
              "0      3.77         8.45          76.0          51.0          8       322.0   \n",
              "\n",
              "  Developer Rating   Platform_new  \n",
              "0  Nintendo      E  other_console  "
            ],
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              "\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Name</th>\n",
              "      <th>Platform</th>\n",
              "      <th>Year_of_Release</th>\n",
              "      <th>Genre</th>\n",
              "      <th>Publisher</th>\n",
              "      <th>NA_Sales</th>\n",
              "      <th>EU_Sales</th>\n",
              "      <th>JP_Sales</th>\n",
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              "      <td>2006.0</td>\n",
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              "      <td>28.96</td>\n",
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              "      <td>51.0</td>\n",
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              "      <td>322.0</td>\n",
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              "      fill: #FFFFFF;\n",
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              "\n",
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              "          document.querySelector('#df-cf6b669b-65c7-4dab-9dc4-0f4cac0ca190 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-cf6b669b-65c7-4dab-9dc4-0f4cac0ca190');\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",
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              "  "
            ]
          },
          "metadata": {},
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        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "filtered_df['Genre'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5myBpVEY2gcR",
        "outputId": "6572df87-86ee-43fc-a6b7-22501217dfd4"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Action          1663\n",
              "Sports           965\n",
              "Shooter          882\n",
              "Role-Playing     718\n",
              "Racing           591\n",
              "Platform         407\n",
              "Misc             394\n",
              "Fighting         382\n",
              "Simulation       301\n",
              "Strategy         274\n",
              "Adventure        249\n",
              "Puzzle           121\n",
              "Name: Genre, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Developers_list = dict(filtered_df['Developer'].value_counts())\n",
        "\n",
        "print(Developers_list)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6z8SlY-_2ktn",
        "outputId": "3833008d-a347-4b12-ee01-68823c8e5fda"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'EA Canada': 152, 'EA Sports': 145, 'Capcom': 128, 'Ubisoft': 104, 'Konami': 98, 'Ubisoft Montreal': 88, 'EA Tiburon': 86, 'Omega Force': 69, 'Nintendo': 68, 'Visual Concepts': 68, 'Electronic Arts': 68, \"Traveller's Tales\": 68, 'Vicarious Visions': 59, 'Codemasters': 58, 'Namco': 55, \"Yuke's\": 48, 'Midway': 44, 'TT Games': 43, 'Neversoft Entertainment': 43, 'Treyarch': 42, 'Maxis': 42, 'From Software': 41, 'Square Enix': 40, 'Eurocom Entertainment Software': 40, 'Sonic Team': 36, 'TOSE': 34, 'Radical Entertainment': 34, 'Harmonix Music Systems': 32, 'Arc System Works': 32, 'Sega': 32, 'Artificial Mind and Movement': 32, 'High Voltage Software': 31, 'Rebellion': 30, 'Gearbox Software': 27, 'Koei': 27, 'Climax Group': 26, 'Acclaim': 25, 'Rainbow Studios': 25, 'KCET': 25, 'SCEA San Diego Studios': 25, 'EA DICE': 24, 'Krome Studios': 24, 'Criterion Games': 24, 'EA Games': 24, 'Ubisoft Shanghai': 23, 'Griptonite Games': 23, 'Nippon Ichi Software': 22, 'Exient Entertainment': 22, 'BioWare': 22, 'CyberConnect2': 22, 'LucasArts': 21, 'EA Redwood Shores': 21, 'Volition Inc.': 21, 'Crystal Dynamics': 21, 'Team 17': 21, 'THQ': 21, 'Terminal Reality': 21, 'Blizzard Entertainment': 20, 'Io Interactive': 20, 'EA Bright Light': 20, 'Heavy Iron Studios': 20, 'Techland': 20, 'Dimps Corporation': 20, 'Creative Assembly': 20, 'SNK Playmore': 19, 'Milestone S.r.l': 19, 'Double Helix Games': 19, 'Eutechnyx': 19, 'Beenox': 19, 'WayForward': 18, 'Bandai Namco Games': 18, 'Ubisoft Montpellier': 18, 'Amaze Entertainment': 18, 'Kush Games': 18, 'Intelligent Systems': 18, 'Toys for Bob': 17, 'PlatinumGames': 17, 'Sumo Digital': 17, 'Tecmo': 17, 'SCE Japan Studio': 17, 'Spike': 17, 'Atlus': 17, 'Blitz Games': 17, 'Team Ninja': 17, '3DO': 17, 'Rockstar San Diego': 17, 'Raven Software': 16, 'Taito Corporation': 16, 'Avalanche Software': 16, 'Obsidian Entertainment': 16, 'Rare Ltd.': 16, 'Backbone Entertainment': 16, 'Digital Eclipse': 16, 'Pandemic Studios': 16, 'EA LA': 16, 'Black Box': 16, 'Level 5': 15, 'SquareSoft': 15, 'PopCap': 15, 'Z-Axis, Ltd.': 15, 'Infinity Ward': 15, 'Argonaut Games': 14, 'SCEA': 14, 'Ubisoft Paris': 14, 'Point of View': 14, 'Relic': 14, 'Rockstar North': 14, 'Visceral Games': 13, '2K Sports': 13, 'Mass Media': 13, 'Grasshopper Manufacture': 13, 'n-Space': 13, 'Firaxis Games': 13, 'HAL Labs': 13, 'Gust': 13, 'Next Level Games': 13, 'Blue Castle Games': 13, 'Digital Illusions': 13, 'FUN Labs': 13, 'Namco Bandai Games': 13, 'Valve Software': 13, 'Neverland': 12, '7 Studios': 12, 'Game Arts': 12, 'Blue Tongue Entertainment': 12, 'Vicious Cycle': 12, 'Kojima Productions': 12, 'SCEE London Studio': 12, 'Activision': 12, 'Cavia Inc.': 12, 'Asobo Studio': 12, 'Sting': 12, 'Ubisoft Quebec': 12, 'HB Studios Multimedia': 12, '989 Sports': 12, 'Edge of Reality': 12, 'Haemimont': 11, 'High Moon Studios': 11, 'Starbreeze': 11, 'Rocksteady Studios': 11, 'Gaijin Entertainment': 11, 'Hudson': 11, 'EA Black Box': 11, 'Bugbear': 11, 'Microsoft Game Studios': 11, 'Paradigm Entertainment': 11, 'Epic Games': 11, 'Free Radical Design': 11, 'Tri-Ace': 11, 'KCEJ': 11, 'Pipeworks Software, Inc.': 11, 'Racjin': 11, 'Ubisoft Romania': 11, 'Bandai': 11, 'Acquire': 11, 'Naughty Dog': 10, 'Treasure': 10, 'Pivotal Games': 10, 'Bizarre Creations': 10, 'Crytek': 10, 'Shaba Games': 10, 'Now Production': 10, 'Hudson Soft': 10, 'Frontier Developments': 10, 'Shiny Entertainment': 10, 'Natsume': 10, 'Spark Unlimited': 10, 'Monolith Productions': 10, 'FreeStyleGames': 10, 'Spike Chunsoft': 10, 'Acclaim Studios Cheltenham': 10, 'Avalanche Studios': 9, 'Piranha Bytes': 9, 'Digital Extremes': 9, 'Game Republic': 9, 'Papaya Studios': 9, 'Page 44 Studios': 9, 'Kuju Entertainment': 9, 'Compile Heart': 9, 'Sega AM2': 9, 'Camelot Software Planning': 9, 'Sports Interactive': 9, 'InXile Entertainment': 9, 'Bethesda Game Studios': 9, 'Image Epoch, Imageepoch': 9, 'Insomniac Games': 9, 'Day 1 Studios': 9, 'Rockstar Leeds': 9, '5TH Cell': 9, 'Falcom': 9, 'TT Fusion': 9, 'Snowblind Studios': 8, 'Indies Zero': 8, 'Atlus Co.': 8, 'Genki': 8, 'Reflections Interactive': 8, 'Juice Games': 8, 'Exakt': 8, 'Luxoflux, Inc.': 8, 'id Software': 8, 'EA Montreal': 8, 'Microids': 8, 'Magic Pockets': 8, 'Zipper Interactive': 8, 'Eden Studios': 8, 'Clover Studio': 8, 'Stormfront Studios': 8, 'Secret Level': 8, 'The Sims Studio': 8, 'Etranges Libellules': 8, 'BudCat': 8, 'Konami Computer Entertainment Hawaii': 8, 'Warthog': 8, 'Nixxes Software': 8, 'Zoe Mode': 8, 'Media Vision': 8, '5pb': 7, 'Black Ops Entertainment': 7, 'Xpec': 7, 'Koei, Omega Force': 7, 'Monster Games Inc.': 7, 'Koei Tecmo Games': 7, 'City Interactive': 7, 'Codemasters Birmingham': 7, 'Red Fly Studio': 7, 'Arika': 7, 'Sanzaru Games': 7, 'Amusement Vision': 7, 'Namco Bandai Games America, Namco Bandai Games': 7, 'SCEE': 7, 'Remedy Entertainment': 7, 'Pyro Studios': 7, 'Vigil Games': 7, 'Silicon Knights': 7, 'EA Chicago': 7, 'Polyphony Digital': 7, 'Aki Corp.': 7, 'CD Projekt Red Studio': 7, 'Rockstar Toronto': 7, 'Ganbarion': 7, 'Red Storm Entertainment': 7, 'Climax Group, Climax Studios': 7, 'Firebrand Games': 7, 'Monolith Soft': 7, 'Inti Creates': 7, 'Q Entertainment': 7, 'Gas Powered Games': 7, 'Sandlot': 7, 'Clap Hanz': 7, 'Sucker Punch': 7, 'Opus': 7, 'NetherRealm Studios': 6, 'Robomodo': 6, '2K Marin': 6, 'Propaganda Games': 6, 'Gameloft': 6, 'Lionhead Studios': 6, 'Artoon': 6, 'Mercury Steam': 6, 'Paradox Development': 6, 'Full Fat': 6, 'DONTNOD Entertainment': 6, 'Irem': 6, 'K2 LLC': 6, 'Headstrong Games': 6, 'Tamsoft': 6, 'Creat Studios': 6, 'Engine Software': 6, 'Core Design Ltd.': 6, 'Saber Interactive': 6, 'Surreal Software': 6, 'Sidhe Interactive': 6, 'Pam Development': 6, 'Webfoot Technologies': 6, 'Nex Entertainment': 6, 'Big Huge Games': 6, 'Jaleco Entertainment': 6, 'Evolution Studios': 6, 'Sony Bend': 6, 'UBlart Montpellier': 6, 'Slightly Mad Studios': 6, 'GRIN': 6, 'Hydravision': 6, 'Project Aces': 6, 'Altron': 6, 'Frogwares': 6, 'Retro Studios': 6, 'Marvelous Entertainment': 6, 'Studio Liverpool': 6, 'Incognito Inc.': 6, 'Arkane Studios': 6, 'Guerrilla': 6, 'h.a.n.d. Inc.': 6, 'Airtight Games': 6, 'Alfa System': 6, 'Bluepoint Games': 5, 'Idea Factory': 5, 'Kalypso': 5, 'KCE Studios': 5, 'Triumph Studios': 5, 'Bungie Software, Bungie': 5, 'Marvelous Inc.': 5, 'Prope': 5, 'Venom Games': 5, 'Sony Online Entertainment': 5, '4J Studios': 5, 'Quantic Dream': 5, 'Respawn Entertainment': 5, 'Ready at Dawn': 5, 'Red Tribe': 5, 'Wow Entertainment': 5, 'Telltale Games': 5, 'SimBin': 5, 'Left Field Productions': 5, 'Nihilistic': 5, 'High Impact Games': 5, 'Turn 10': 5, 'Matrix Software': 5, 'Vanillaware': 5, 'Atomic Planet Entertainment': 5, 'Larian Studios': 5, 'DC Studios': 5, 'Farsight Studios': 5, 'ChunSoft': 5, 'Ghost Games': 5, 'Midway Studios - Austin': 5, 'Blue Byte': 5, 'Jupiter Corporation': 5, 'Smilebit': 5, 'Paon Corporation': 5, 'Revolution Software': 5, 'Atari': 5, 'Black Rock Studio': 5, 'Eighting': 5, 'Ensemble Studios': 5, 'Bec': 5, 'Ninja Theory': 5, 'ArtePiazza': 5, '2K Czech': 5, 'Slant Six': 5, 'FuRyu': 5, 'SCE Santa Monica': 5, 'Inti': 4, 'Yager': 4, 'Ion Storm': 4, 'Tantalus Interactive': 4, 'GSC Game World': 4, 'UDS': 4, 'Zombie Studios': 4, 'Smart Bomb Interactive': 4, 'Treyarch, Shaba Games': 4, 'Nordic Games Publishing': 4, 'Eidos Interactive': 4, 'AWE Games': 4, 'Mad Doc Software': 4, '343 Industries': 4, 'Black Isle Studios': 4, 'Polygon Magic': 4, 'Gaming Minds Studios': 4, 'Reality Pump': 4, 'Hitmaker': 4, 'Trion Worlds': 4, 'Pacific Coast Power & Light': 4, 'RedLynx': 4, 'Behaviour Interactive': 4, 'Pseudo Interactive': 4, 'Access Games': 4, 'Art': 4, 'Iron Galaxy Studios': 4, 'Torus Games': 4, 'Totally Games': 4, 'Tri-Crescendo': 4, 'Saffire': 4, 'Wideload Games Inc.': 4, 'Eighting/Raizing': 4, 'Acclaim Studios Austin': 4, 'iNiS': 4, 'Bits Studios': 4, 'FeelPlus': 4, 'Marvelous': 4, 'Ubisoft Vancouver': 4, 'Ignition Entertainment': 4, 'Massive Entertainment': 4, 'Funcom': 4, 'Bigbig Studios': 4, 'VIS Entertainment': 4, 'Splash Damage': 4, 'Capcom Vancouver': 4, 'MachineGames': 4, 'FireFly Studios': 4, 'Kaos Studios': 4, 'Hellbent Games': 4, 'Crave': 4, 'Planet Moon Studios': 4, 'Ryu ga Gotoku Studios': 4, 'United Front Games': 4, 'Sand Grain Studios': 4, 'Light Weight': 4, 'Nd Cube': 4, 'Bohemia Interactive': 4, 'Eidos Montreal': 4, 'Oddworld Inhabitants': 4, 'Infinite Interactive': 4, 'Croteam': 4, 'Virtuos': 4, \"Shin'en\": 4, 'Sensory Sweep': 4, 'Bethesda Softworks': 4, 'Genuine Games': 4, 'Cyanide': 4, 'Irrational Games': 4, 'High Voltage Software, Backbone Entertainment': 4, 'Giants Software': 4, 'ArenaNet': 4, 'SCEI': 4, 'Deep Silver': 4, 'DreamFactory': 4, 'Nintendo, Nd Cube': 4, 'Ubisoft Reflections': 4, 'EA Salt Lake': 4, 'Double Fine Productions': 4, 'Ubisoft Toronto': 4, 'Danger Close': 3, 'EA Sports, EA Vancouver': 3, 'Flight-Plan': 3, 'Overkill Software': 3, 'Spicy Horse': 3, 'Red Storm Entertainment, Ubisoft Montreal': 3, 'Ratbag': 3, 'Sledgehammer Games': 3, 'SCEJ': 3, 'Deadline Games': 3, 'Valuewave Co.,Ltd.': 3, 'Monumental Games': 3, 'Angel Studios': 3, 'Game Freak': 3, 'id Software, Raven Software': 3, 'SEGA Racing Studio': 3, 'Zerodiv': 3, 'Infinity Ward, Sledgehammer Games': 3, 'Human Head Studios': 3, 'Data Design Interactive': 3, 'Creatures Inc.': 3, 'Cave': 3, 'Collision Studios': 3, 'Ascaron Entertainment GmbH, Ascaron Entertainment': 3, 'Neverland, Idea Factory': 3, 'Microvision': 3, 'Appaloosa Interactive': 3, 'TimeGate Studios': 3, 'Team Fusion': 3, 'Supersonic Software': 3, 'Yacht Club Games': 3, 'Hit Maker': 3, 'Gratuitous Games': 3, 'IR Gurus': 3, 'Ubisoft Reflections, Ivory Tower': 3, 'Idea Factory, Compile Heart': 3, 'Cyanide, Cyanide Studios': 3, 'Black Ship Games': 3, 'City Interactive, Deck 13': 3, 'Eugen Systems': 3, 'Blitz Games Studios': 3, 'SCE Studio Cambridge': 3, 'Tango Gameworks': 3, 'Blade Interactive': 3, 'Stainless Games': 3, 'KnowWonder': 3, 'Hangar 13': 3, 'Rockstar Studios': 3, 'TOYBOX': 3, 'Stormregion': 3, 'Neko Entertainment': 3, 'Genius Sonority Inc.': 3, 'Anchor': 3, 'Magenta Software': 3, 'NanaOn-Sha': 3, 'Aspect': 3, 'Blue Shift': 3, 'Pocketeers': 3, 'CAProduction': 3, 'Artdink': 3, 'Attention To Detail': 3, 'Adrenium': 3, 'Deck 13': 3, '4A Games': 3, 'Cing': 3, 'EA Sports Big': 3, 'Melbourne House': 3, 'GenePool': 3, 'Loose Cannon Studios': 3, 'Shift': 3, 'Kylotonn': 3, 'Media Molecule': 3, 'Ubisoft, Ubisoft Montreal': 3, 'Spiders': 3, 'Deibus Studios': 3, 'Renegade Kid': 3, 'Novarama': 3, '8ing/Raizing': 3, 'Kush Games, Visual Concepts': 3, 'Artech Studios': 3, 'EA Canada, Nihilistic': 3, 'Barnhouse Effect': 3, 'Examu': 3, 'Ubisoft Casablanca': 3, 'Piranha Games': 3, 'Psyonix': 3, '2K Games': 3, 'Indie Built': 3, 'Dreamcatcher': 3, 'WinkySoft': 3, 'Gearbox Software, 3D Realms': 3, 'Nadeo': 3, 'Titus Software': 3, 'Overworks': 3, 'Deep Silver Dambuster Studios': 3, 'Marvelous AQL': 3, 'Turtle Rock Studios': 3, 'Big Ant Studios': 3, 'Rockstar London': 3, 'Take-Two Interactive': 3, 'Petroglyph': 3, 'Digital Mayhem': 3, 'Coyote Developments': 3, 'Success': 3, 'Epic Games, People Can Fly': 3, 'Rage Software': 3, 'Experience Inc.': 3, 'Crystal Dynamics, Nixxes Software': 3, 'Cauldron Ltd.': 3, 'Takara Tomy': 3, 'Kadokawa': 3, 'NuFX': 3, 'Swordfish Studios': 3, 'Jellyvision, Iron Galaxy Studios': 3, 'Namco Bandai Games, Monkey Bar Games': 3, 'Amuze': 3, 'Trickstar Games': 3, 'Monte Cristo Multimedia': 3, 'Illusion Softworks': 3, 'Lucky Chicken': 3, 'Cyberlore Studios': 3, 'Eden': 3, 'Kemco': 3, 'Nintendo, Nintendo Software Technology': 3, 'Mercury Steam, Alchemic Productions': 3, 'Ambrella': 3, 'Suzak': 3, 'Jester Interactive': 3, '2K Australia': 3, 'Hudson Entertainment': 3, 'Ivory Tower': 3, 'WideScreen Games': 3, 'Bungie Software': 3, 'Darkworks': 3, 'Cat Daddy Games': 3, 'Acclaim Studios Manchester': 2, 'Funatics Software, Funatics': 2, 'Akella': 2, 'Phantagram': 2, 'Immersion Software & Graphics': 2, 'VSTEP': 2, 'Prope, Kadokawa': 2, 'Wargaming.net': 2, 'Big Blue Bubble Inc.': 2, 'Isopod Labs': 2, 'Volatile Games': 2, 'Humongous Entertainment': 2, 'Moss': 2, 'Other Ocean Interactive': 2, '1st Playable Productions': 2, 'Taito Corporation, 505 Games': 2, 'Mucky Foot Productions': 2, 'Kung Fu Factory': 2, 'Disney Interactive': 2, 'Terminal Reality, 4mm Games': 2, 'The Game Factory': 2, 'Hoplite Research': 2, 'Idol Minds': 2, '505 Games': 2, 'EKO Software': 2, 'EA Canada, EA Vancouver': 2, 'Mistic Software': 2, 'Starsphere Interactive': 2, 'Micro Cabin': 2, 'Guildford Studio': 2, 'SunSoft': 2, 'The Behemoth': 2, 'Atomic Motion': 2, 'Black Hole Games': 2, 'Spark Unlimited, comcept': 2, 'Paradox Development Studio': 2, 'Platinum Egg': 2, 'Cranky Pants Games': 2, 'Spike Chunsoft, Chime': 2, 'Studio Saizensen': 2, 'SuperVillain Studios': 2, 'Milestone, Milestone S.r.l': 2, 'CCP': 2, 'System 3': 2, 'Takara': 2, 'Bongfish': 2, 'Re-Logic': 2, '2XL Games': 2, 'Interplay': 2, 'Egosoft': 2, 'Broadsword Interactive': 2, 'Magellan Interactive': 2, 'UGA': 2, 'THQ Australia': 2, 'Big Sky Software': 2, 'Metanet Software Inc., SilverBirch Studios': 2, 'Fatshark AB': 2, 'Mad Catz': 2, \"Swingin' Ape\": 2, 'Lost Toys': 2, 'NaturalMotion': 2, 'Playlogic, The Game Factory': 2, 'T&E Soft': 2, 'Majesco Games, Majesco': 2, 'G-Artists': 2, 'Spellbound': 2, 'Million': 2, 'Seta Corporation': 2, 'Santa Cruz Games': 2, 'ValuSoft': 2, 'Coyote Console': 2, 'Keen Games': 2, 'Zono Inc.': 2, 'Ubisoft Bulgaria': 2, 'AQ Interactive': 2, 'Outrage Games': 2, 'Andamiro U.S.A. Corp.': 2, 'Top Heavy Studios': 2, 'Orbital Media, Inc.': 2, 'ZootFly': 2, 'Panic Button': 2, 'Sony Interactive Entertainment': 2, 'Blue Omega': 2, 'Mitchell': 2, 'Hypnotix': 2, 'Career Soft': 2, 'Metro': 2, 'Rovio Mobile, Rovio Entertainment': 2, 'Rocksteady Studios, Virtuos': 2, 'Eutechnyx, Deep Silver': 2, 'Zoe Mode, HB Studios Multimedia': 2, 'CI Games': 2, '1C: Maddox Games': 2, 'S-Neo': 2, 'Quicksilver Software': 2, 'Tripwire Interactive': 2, 'Arkedo Studio': 2, 'GungHo': 2, 'Liquid Entertainment': 2, 'Climax Entertainment': 2, 'Mix Max': 2, 'Epics': 2, 'FrontLine Studios': 2, 'Studio 33': 2, 'Kunos Simulazioni': 2, 'Colossal Order': 2, 'K2': 2, 'The Fun Pimps Entertainment LLC': 2, 'Pendulo Studios': 2, 'Gaijin Games': 2, '10tacle Studios, Fusionsphere Systems': 2, 'Nautilus': 2, 'Seven45 Studios': 2, 'WXP': 2, 'Destination Software': 2, 'Monkey Bar Games': 2, 'Neon Studios, Kaiko': 2, 'CyberConnect2, Racjin': 2, 'Brownie Brown': 2, 'JGI Entertainment': 2, 'Project Soul': 2, 'David A. Palmer Productions': 2, 'Square Enix, Tri-Ace': 2, 'Guerilla Cambridge': 2, 'EA Seattle': 2, 'Ubisoft Milan': 2, 'Digital Anvil': 2, 'Bungie': 2, 'Visual Impact': 2, 'Dimps Corporation, Namco Bandai Games': 2, 'Cooking Mama Limited': 2, 'FASA Studio': 2, 'RED Entertainment': 2, '1C, 1C Company': 2, 'Midway Studios - Los Angeles': 2, 'Fuse Games Limited': 2, 'Vivarium': 2, 'Pipe Dream Interactive': 2, 'Incinerator Games': 2, 'SCEA Sports Studio': 2, 'Destineer': 2, 'Inevitable Entertainment': 2, 'Omega Force, Koei Tecmo Games': 2, 'Hothouse Creations': 2, 'THQ Digital Studio Phoenix': 2, 'Bullets': 2, 'Black Sea Studios': 2, 'Pyramid': 2, 'Vanilla Ware': 2, 'Silicon Studio': 2, 'DMA Design': 2, 'EA Sports, EA Canada': 2, 'Epicenter Studios': 2, 'Nitro Games': 2, 'Shift, Bandai Namco Games': 2, 'Nerve Software': 2, 'Mistwalker, Artoon': 2, 'Buzz Monkey': 2, 'Coresoft': 2, 'Dice, Danger Close': 2, 'SuperMassive Games': 2, 'Artefacts Studio': 2, 'SCE/WWS, Media Molecule': 2, 'Factor 5': 2, 'Midway Studios - San Diego': 2, 'EA Vancouver': 2, 'WB Games Montreal': 2, 'syn Sophia': 2, 'Dreamworks Interactive': 2, 'Razorworks Studios': 2, 'Warner Bros. Interactive Entertainment, NetherRealm Studios': 2, 'Ubisoft Paris, Ubisoft Montpellier': 2, 'Irrational Games, 2K Marin': 2, 'Spike, Namco Bandai Games': 2, 'Junction Point': 2, 'Team Bondi': 2, 'Kojima Productions, Moby Dick Studio': 2, 'Fox Interactive': 2, 'Blue Byte, Related Designs': 2, 'Nintendo EAD Tokyo': 2, 'Playground Games': 2, 'Sega, Sonic Team': 2, 'Team Ninja, Tecmo': 2, 'Longtail Studios': 2, 'Red Storm Entertainment, Ubisoft Paris': 2, 'Blizzard North': 2, 'Mad Doc Software, Rockstar Vancouver': 2, 'Electronic Arts, Rebellion': 2, 'Helixe': 2, 'Locomotive Games': 2, 'Savage Entertainment': 2, '49Games': 2, '3G Studios': 2, 'ZeniMax Media': 2, 'M2': 2, 'Pocket Studios': 2, 'Aspyr': 2, 'Steel Monkeys': 2, 'Pitbull Syndicate': 2, 'Q-Games': 2, 'Capcom, Pipeworks Software, Inc.': 2, 'Koei/Inis': 2, 'Kuusou Kagaku': 2, 'Harmonix Music Systems, Demiurge Studios': 2, 'Bullfrog Productions': 2, 'Bandai Namco Games, Artdink': 2, 'KCEO': 2, 'Noise Inc.': 2, 'Naps Team': 2, 'Victor Interactive Software': 2, 'Beyond Games': 2, 'LucasArts, Krome Studios': 2, 'Ascaron Entertainment GmbH': 2, 'Team 17, Two Tribes': 2, 'Sega Studios San Francisco': 2, 'CiRCLE': 2, 'Best Way': 2, 'PopTop Software': 2, 'Computer Artworks': 2, 'Frozenbyte, Inc.': 2, 'Cattle Call': 2, 'People Can Fly': 2, 'Tilted Mill': 2, 'WBIE': 2, 'ITL': 2, 'Armature Studio': 2, 'MTO': 2, 'Psygnosis': 2, 'Studio Gigante': 2, 'Capcom, QLOC': 2, 'Ritual Entertainment, Avalanche Software': 2, 'ApolloSoft': 1, 'Playstos Entertainment': 1, 'Strangelite': 1, 'Gulti': 1, 'SouthPeak Games': 1, 'Wizarbox': 1, 'Rising Star Games': 1, 'Deep Red': 1, 'Tranji': 1, 'Vicious Cycle, Infinite Interactive': 1, 'Infogrames Sheffield': 1, 'Turbine Inc.': 1, 'Metropolis Software': 1, 'SkyRiver Studios': 1, 'Cyan Worlds': 1, 'ECI': 1, 'Flying Tiger Development': 1, 'Touchdown Entertainment': 1, 'Indi': 1, 'Empire Interactive': 1, 'Iridon Interactive AB': 1, 'Mekensleep': 1, 'Cosmigo': 1, 'Bright Future GmbH': 1, 'Kheops Studio': 1, 'Telenet': 1, 'Foundation 9 Entertainment': 1, 'Noise Factory': 1, 'Toka': 1, 'TimeGate Studios, Day 1 Studios': 1, 'Konami Software Shanghai': 1, 'Digital Leisure Inc.': 1, 'Nvizzio Creations': 1, '1C:Ino-Co': 1, 'Tose Software': 1, 'Blue 52': 1, 'Pterodon': 1, 'Flagship Studios': 1, 'EA Canada, Sensory Sweep': 1, 'Vivendi Games': 1, 'Velez & Dubail': 1, 'Cunning Developments': 1, '1C, Ino-Co, 1C Company': 1, 'G1M2': 1, 'Activision Value': 1, 'Wicked Witch Software': 1, 'Snap Dragon Games': 1, '3d6 Games': 1, 'Realmforge Studios': 1, 'odenis studio': 1, '8Monkey Labs': 1, 'Ubisoft Osaka': 1, 'Milestone': 1, 'TDK Mediactive': 1, 'Headgate': 1, 'Coffee Stain Studios': 1, 'G.Rev': 1, 'Boston Animation': 1, 'GameCo': 1, 'Fusionsphere Systems': 1, 'React Games': 1, 'Examu, Marvelous Inc.': 1, 'Inferno Games': 1, 'Katauri Interactive': 1, 'Frima Studio': 1, 'High Moon Studios, Mercenary Technologies': 1, 'Daedalic Entertainment': 1, 'Infinite Dreams, Paragon 5': 1, 'Big Red Software': 1, 'Monolith Soft, Namco Bandai Games': 1, 'Fluid Studios': 1, 'Empty Clip Studios': 1, 'EA Phenomic': 1, 'Battlefront.com, 1C, 1C Company': 1, 'Tecmo, Graphic Research': 1, 'Babylon Software': 1, 'Flying Lab Software': 1, 'Icon Games': 1, 'JoWooD Entertainment AG': 1, 'Nival Interactive': 1, 'Autumn Moon': 1, \"Activision, Traveller's Tales\": 1, 'Smack Down Productions': 1, 'Housemarque': 1, 'Tate Interactive': 1, 'Metro3D': 1, 'Atari, Slightly Mad Studios, Atari SA': 1, 'Elixir Studios': 1, 'Ambrella, The Pokemon Company': 1, 'Compulsion Games': 1, 'Camouflaj, LLC': 1, 'Killaware': 1, 'SystemSoft': 1, 'SCE/WWS, SCE Japan Studio': 1, 'DMA Design, Rockstar North': 1, 'King of the Jungle': 1, 'ProSoft': 1, 'Entersphere, Inc.': 1, 'Spidersoft, Spiders': 1, 'BeeWorks': 1, 'Master Creating': 1, 'Gameinvest, Seed Studios, Lda': 1, 'Pinegrow': 1, 'Brainbox Games': 1, 'Panther Software': 1, 'DreamRift': 1, 'Iron Lore Entertainment': 1, 'Gaia (Sony)': 1, 'Number None Inc., Knockout Games': 1, 'IronNos Co.,Ltd.': 1, 'Ninja Studio': 1, 'Legacy Interactive': 1, 'DiP Interactive': 1, 'Runtime': 1, 'Targem Games': 1, 'Silver Wish Games': 1, 'Mobius Entertainment': 1, 'Arrowhead Game Studios': 1, 'Activision, Behaviour Interactive': 1, 'Codo Games': 1, 'Raylight Studios': 1, 'Fusionsphere Systems, Animation Arts': 1, '2D Boy': 1, 'Zoo Games': 1, 'Synetic': 1, 'Crea-Tech': 1, 'Doublesix': 1, 'Games Farm': 1, 'Imagineer': 1, 'Ironclad Games': 1, 'NEC Interchannel': 1, 'Zed Two Limited': 1, 'Prograph': 1, 'Blue Fang Games': 1, 'Opus Studio': 1, 'Introversion, Double Eleven': 1, 'WorkJam': 1, 'Rebellion, Neversoft Entertainment': 1, 'Tiwak': 1, 'Valhalla Game Studios': 1, 'Sonnori': 1, 'Eidos Montreal, Nixxes Software': 1, 'Big Time Software': 1, 'Volition Inc., Reactor Zero': 1, 'Viva Media, Viva Media, LLC': 1, 'Confounding Factor': 1, 'Global A': 1, 'Super Empire': 1, 'Headfirst Productions': 1, 'Eagle Dynamics': 1, 'EA Japan Studio': 1, 'BattleGoat Studios': 1, 'Sonic Powered': 1, 'Enlight Software': 1, 'zSlide': 1, 'Nitro+': 1, 'Nikitova Games': 1, 'Big Blue Bubble Inc., Breakthrough New Media': 1, 'PuzzleKings': 1, 'Gameness Art Software': 1, 'Mediascape, CUBETYPE': 1, 'Cryptic Studios': 1, 'Next Level Games, Nintendo': 1, 'NoWay Studio': 1, 'Art Co., Ltd.': 1, 'Reloaded Productions, Reloaded Games Inc.': 1, 'Boxed Dream': 1, 'Awesome Play Ltd.': 1, 'Kodiak Interactive': 1, 'Dusenberry Martin Racing': 1, '5000ft': 1, 'Lead Pursuit': 1, 'Direct Action Games': 1, 'NATSUME ATARI Inc.': 1, 'Liquid Dragon Studios': 1, 'Punchline, Shirogumi': 1, 'Namco Bandai Games America': 1, 'Stainless Steel Studios': 1, 'Beluga Computer': 1, 'Max Five': 1, 'InterServ International': 1, 'Runic Games': 1, 'Black Lantern Studios': 1, 'EnjoyUp Games': 1, 'Roxor Games': 1, 'Ubisoft Barcelona': 1, 'Nightlight Studios': 1, 'Edge Entertainment, Anima Project': 1, 'Multimedia Intelligence Transfer': 1, 'Powerhead Games': 1, 'Buka Entertainment, Targem Games': 1, 'Mindware Studios': 1, 'InLight Entertainment': 1, 'EA Mythic': 1, 'Interactive Brains': 1, 'Volition Inc., CD Projekt Red Studio, CD Projekt, CD Projekt Localisation Centre': 1, 'Atomic Planet Entertainment, Mud Duck Productions': 1, 'MileStone Inc.': 1, 'Studio Archcraft': 1, 'THQ, 1C, 1C Company': 1, 'Climax Studios': 1, 'Enterbrain': 1, 'Neon Studios': 1, 'Gaslamp Games': 1, 'Ubisoft, FunHouse': 1, 'Sabertooth Games': 1, 'Human Soft': 1, 'SEK Ost': 1, 'Doki Denki': 1, 'Box Clever Interactive': 1, 'Leviathan Games': 1, 'Goshow': 1, 'System Prisma': 1, 'Idol FX': 1, 'Vogster': 1, 'The Tangentlemen': 1, 'Trendy Entertainment': 1, 'Buzz Monkey, EA Montreal': 1, 'Deep Silver, Keen Games': 1, 'SCEA, Sims': 1, 'Raster': 1, 'Machatin, Inc.': 1, 'HexaDrive': 1, 'Jupiter Corporation, Jupiter Multimedia': 1, 'Factor 5, SCE/WWS': 1, 'SCE Japan Studio, comcept': 1, 'Contraband Entertainment': 1, 'Quest': 1, 'Harmonix Music Systems, Backbone Entertainment': 1, 'Screenlife Games, WXP': 1, 'Razorworks': 1, 'New': 1, 'Ubisoft Barcelona, Ubisoft Reflections': 1, 'Eurocom Entertainment Software, Visceral Games': 1, 'Nintendo, Headstrong Games': 1, 'High Voltage Software, Ubisoft Paris': 1, 'Nuevo Retro Games': 1, 'Brain Toys': 1, 'Media Vision, Contrail': 1, 'Tomy Corporation': 1, 'BioWare, Demiurge Studios': 1, 'RED Entertainment, Artdink': 1, 'Delphine Software International': 1, 'Dimps Corporation, SCE Japan Studio': 1, 'Krome Studios, Screenlife Games': 1, 'Lab Rats Games': 1, 'Deep Space': 1, 'Skyworks Technologies': 1, 'Dreamworks Games': 1, 'Coldwood Interactive': 1, 'Bunkasha Publishing': 1, 'Tetris Online, Inc': 1, 'Awesome Studios': 1, 'ImaginEngine': 1, 'Vatra': 1, 'Nintendo, Camelot Software Planning': 1, 'AI': 1, 'Inland Productions': 1, 'Sennari Interactive': 1, 'Tantatus': 1, 'Buena Vista Interactive': 1, 'Cohort Studios': 1, 'Lancarse, Atlus': 1, 'Hijinx Studios': 1, 'Zener Works': 1, 'Atlus, Dingo Inc.': 1, 'Game Republic, JapanStudio': 1, 'Big Red Button Entertainment': 1, 'Wildfire Studios': 1, 'Inti, Inti Creates': 1, 'Ronin Entertainment': 1, 'RED Entertainment, Spike Chunsoft': 1, 'Pax Softonica': 1, 'Square Enix, TOSE': 1, 'Twisted Pixel Games': 1, 'Kamui': 1, 'War Drum Studios': 1, 'Sunrise Interactive': 1, 'Nintendo, Intelligent Systems': 1, 'Bluehole Studio': 1, 'Maximum Games': 1, 'Zen Studios': 1, 'Blueside': 1, 'Frogwares, Mistic Software': 1, 'Monolith Soft, Banpresto': 1, 'Red Zone Entertainment': 1, 'Lightning Fish Games': 1, 'Crafts & Meister': 1, 'Good Science Studio': 1, 'Hypnos Entertainment': 1, 'Eighting, Genius Sonority Inc.': 1, 'Prolific': 1, 'id Software, Nerve Software': 1, 'Blue Planet Software': 1, 'Check Six Games': 1, 'PLAYGROUND, Playground Games': 1, 'Flagship, HAL Labs': 1, 'Realtime Worlds': 1, 'Ready at Dawn, SCE Santa Monica': 1, 'Hello Games': 1, 'Naughty Dog, Sony Bend': 1, 'The Code Monkeys': 1, 'BigPark': 1, 'Digital Extremes, 2K Marin': 1, 'Flagship': 1, 'Arzest': 1, 'Square Enix, Think and Feel': 1, 'The Coalition': 1, 'HAL Labs, Creatures Inc.': 1, 'Rare Ltd., BigPark': 1, 'GREZZO': 1, 'Splash Damage, The Coalition': 1, 'Nintendo, Namco Bandai Games': 1, 'Office Create': 1, 'Team Soho': 1, 'SCEA, Zindagi Games': 1, 'Certain Affinity': 1, 'Agenda': 1, 'Dimps Corporation, Sonic Team': 1, 'Neversoft Entertainment, BudCat': 1, 'SCEE, Zoe Mode': 1, 'LucasArts, BioWare': 1, 'OfficeCreate': 1, 'EA DICE, Danger Close': 1, 'Big Blue Box': 1, 'Naughty Dog, SCE/WWS': 1, 'Rockstar Vienna': 1, 'Good-Feel': 1, 'Ubisoft Sofia': 1, 'Toolbox Design': 1, 'Square Enix, h.a.n.d. Inc.': 1, 'Mistwalker': 1, 'KCEK': 1, 'Runecraft': 1, 'Media Molecule, United Front Games': 1, 'SCi': 1, 'Treyarch, Sledgehammer Games': 1, 'SuperBot Entertainment': 1, 'Artificial Mind and Movement, Polygon Magic': 1, 'LucasArts, Red Fly Studio': 1, 'Retro Studios, Entertainment Analysis & Development Division': 1, 'Dearsoft': 1, 'Realism Ltd': 1, 'Equinoxe': 1, 'Rockstar Vancouver': 1, 'Vicarious Visions, Neversoft Entertainment': 1, 'Opus, Project Sora': 1, 'Omega Force, Tecmo Koei Games': 1, 'Nintendo, Spike Chunsoft': 1, \"THQ, Yuke's\": 1, 'Tarsier Studios, Double Eleven': 1, 'Spike Chunsoft Co. Ltd., Spike Chunsoft': 1, 'Chris Sawyer': 1, 'neo Software': 1, 'Level 5, Brownie Brown': 1, 'Sega, Dimps Corporation': 1, 'Ruffian Games': 1, 'EA Redwood Shores, EA Salt Lake': 1, 'Ubisoft Shanghai/Paris': 1, 'Sega AM3': 1, 'Electronic Arts, EA Redwood Shores': 1, 'Tantalus Interactive, Tantatus, Nintendo': 1, 'Shade': 1, 'Banpresto, SoftMax': 1, 'SNK': 1, 'Stalker Entertainment': 1, 'Netherock Ltd.': 1, 'Felistella': 1, 'Armature Studio, comcept': 1, 'Nicalis': 1, 'Ntreev Soft': 1, 'Westwood Studios': 1, 'TopWare Interactive': 1, 'Next Entertainment': 1, 'Transmission Games': 1, 'K2, Kurogane': 1, 'JV Games Inc.': 1, 'Taniko': 1, 'Circus Freak': 1, 'Virtual Air Guitar Company': 1, 'Venan Entertainment, Cashmere Prod.': 1, 'Interchannel': 1, 'Warner Bros. Interactive Entertainment': 1, 'Crawfish Interactive': 1, 'Sony Online Entertainment, Mind Control Software': 1, 'Lucas Learning': 1, 'Sega, French-Bread': 1, 'Gearbox Software, WayForward': 1, 'SScholastic Media': 1, 'Omiya Soft, Jamsworks': 1, 'Atari, Transmission Games, Atari SA': 1, 'Carbine Studios': 1, 'Hypnos': 1, 'Tenky': 1, 'Bam Entertainment': 1, 'Compile Heart, GCREST': 1, 'Game Arts, Seta Corporation': 1, 'Aqua Plus': 1, 'Zombie': 1, 'Sunflowers Interactive': 1, 'Rocksteady Studios, Iron Galaxy Studios': 1, 'IR Gurus Interactive Ltd.': 1, 'Digital Embryo': 1, 'Microsoft Game Studios Japan': 1, 'HotGen': 1, 'EA Tiburon, n-Space': 1, 'Halfbrick Studios': 1, 'Gusto Games': 1, 'Santa Entertainment': 1, 'Bionic Games': 1, 'Nippon Ichi Software, Hit Maker': 1, 'Aqua Pacific, In2Games': 1, 'Happy Happening': 1, 'Pentavision Entertainment': 1, 'Vanguard': 1, 'Full-Fat': 1, 'KING Art': 1, 'Artificial Studios, Immersion Software & Graphics': 1, 'Animation Arts': 1, 'Phosphor Games Studio, LLC': 1, 'Psikyo': 1, 'Premium Agency': 1, 'Syscom': 1, 'GlyphX Games': 1, 'Hot Lava Games': 1, 'Nfusion': 1, 'Curly Monsters': 1, 'Deep Fried Entertainment': 1, 'Visual Sciences': 1, 'Beep Industries': 1, 'I-Imagine': 1, 'Game Arts, Japan Art Media (JAM)': 1, 'Infogrames': 1, 'RFX Interactive': 1, '369 Interactive': 1, 'Buddiez, Inc.': 1, 'Human Entertainment': 1, 'Graphic State': 1, 'Namco Bandai Games, Cellius': 1, 'Gorilla Systems': 1, '2015': 1, 'Southend Interactive': 1, 'Amaze': 1, 'Io Interactive, Nixxes Software': 1, 'Tamsoft, D3Publisher': 1, 'Metro Graphics': 1, 'Matrix Software, Marvelous Entertainment': 1, 'Oxygen Interactive': 1, 'Blueshift': 1, 'VU Games': 1, 'Magic Pixel Games': 1, 'Disney Interactive Studios': 1, 'Blue Tongue': 1, 'Alphadream Corporation': 1, \"Crispy's\": 1, 'Prokion': 1, 'LDW, Big Fish Games': 1, 'Sacnoth': 1, 'Related Designs': 1, 'The Workshop': 1, 'Neversoft Entertainment, Underground Development': 1, 'Simon & Schuster': 1, 'LightBox Interactive': 1, 'Game Titan': 1, 'Just Add Monsters': 1, 'Pacific Century Cyber Works': 1, 'Zindagi Games': 1, 'Zoom': 1, 'Presto Studios': 1, 'Arcade Moon': 1, 'Rockstar Toronto, Rockstar Leeds': 1, 'Ubisoft, Sensory Sweep': 1, 'Tecmo Koei Games': 1, 'Tecmo, Ntreev Soft': 1, 'Secret Stash Games': 1, 'D3Publisher': 1, 'Artificial Mind and Movement, EA Redwood Shores': 1, 'BottleRocket Entertainment': 1, 'Skip Ltd.': 1, 'Cinemaware': 1, 'Tecmo Koei Canada': 1, 'Buena Vista Games': 1, 'Teyon': 1, 'Software Creations': 1, 'Kronos Digital Entertainment': 1, 'Brash Entertainment': 1, 'Backbone Emeryville': 1, 'Gust, Idea Factory': 1, 'Eighting, Takara Tomy': 1, 'Replay Studios, ML Enterprises': 1, 'Magic Rings': 1, 'Activision, FreeStyleGames': 1, 'SoftMax': 1, 'Sun-Tec': 1, 'Rhino Studios': 1, 'Digital Fiction': 1, 'MASA Group': 1, 'ThatGameCompany': 1, 'Osiris Studios': 1, 'Deep Silver, Sproing Interactive Media, Sproing': 1, 'Alpha Unit': 1, 'Phoenix Games Studio': 1, 'Sanzaru Games, Sanzaru Games, Inc.': 1, 'SCEA, Think and Feel': 1, 'Ubisoft Annecy': 1, 'Omega Force, Koei Canada': 1, 'Sega, Tom Create': 1, 'GCP1': 1, 'Atomic Games': 1}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Doing the same as we did for Platform column, building only 3-4 categories for the Developer column.\n",
        "\n",
        "def developer(x):\n",
        "  if x.find('EA') >= 0 or x.find('Electronic Arts') >= 0:\n",
        "    return 'EA'\n",
        "  elif x.find('Capcom') >= 0:\n",
        "    return 'Capcom'\n",
        "  elif x.find('Ubisoft') >= 0:\n",
        "    return 'Ubisoft'\n",
        "  elif x.find('Konami') >= 0:\n",
        "    return 'Komani'\n",
        "  elif x.find('Nitendo') >= 0:\n",
        "    return 'Nitendo'\n",
        "  else:\n",
        "    return 'other_dev'\n",
        "\n",
        "\n",
        "filtered_df['Developer_new'] = filtered_df['Developer'].map(developer)\n",
        "\n",
        "filtered_df.head(1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 162
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        "id": "7vLowsO22prH",
        "outputId": "81af590c-d4ca-46ce-a382-0399ec278d74"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Name Platform  Year_of_Release   Genre Publisher  NA_Sales  EU_Sales  \\\n",
              "0  Wii Sports      Wii           2006.0  Sports  Nintendo     41.36     28.96   \n",
              "\n",
              "   JP_Sales  Other_Sales  Critic_Score  Critic_Count User_Score  User_Count  \\\n",
              "0      3.77         8.45          76.0          51.0          8       322.0   \n",
              "\n",
              "  Developer Rating   Platform_new Developer_new  \n",
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              "                                                     [key], {});\n",
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              "\n",
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    {
      "cell_type": "code",
      "source": [
        "filtered_df['Rating'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LtTfx11w2sZp",
        "outputId": "ad4b40e4-f58f-4d7f-8092-5cea62abe99a"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "T       2420\n",
              "E       2118\n",
              "M       1459\n",
              "E10+     946\n",
              "RP         2\n",
              "AO         1\n",
              "K-A        1\n",
              "Name: Rating, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def rating(x):\n",
        "  if x == 'T':\n",
        "    return 'T'\n",
        "  elif x == 'E':\n",
        "    return 'E'\n",
        "  elif x == 'M':\n",
        "    return 'M'\n",
        "  elif x == 'E10+':\n",
        "    return 'E10+'\n",
        "  else:\n",
        "    return 'other_rating'\n",
        "\n",
        "filtered_df['Rating_new'] = filtered_df['Rating'].map(rating)\n",
        "\n",
        "filtered_df.head(1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 162
        },
        "id": "n9kOMAsU3UFO",
        "outputId": "5cc41b4a-083e-42ed-eabc-520fee57ca3c"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Name Platform  Year_of_Release   Genre Publisher  NA_Sales  EU_Sales  \\\n",
              "0  Wii Sports      Wii           2006.0  Sports  Nintendo     41.36     28.96   \n",
              "\n",
              "   JP_Sales  Other_Sales  Critic_Score  Critic_Count User_Score  User_Count  \\\n",
              "0      3.77         8.45          76.0          51.0          8       322.0   \n",
              "\n",
              "  Developer Rating   Platform_new Developer_new Rating_new  \n",
              "0  Nintendo      E  other_console     other_dev          E  "
            ],
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              "            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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    {
      "cell_type": "code",
      "source": [
        "pub = dict(filtered_df['Publisher'].value_counts())\n",
        "\n",
        "print(pub)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pS7FS4Xi3W2e",
        "outputId": "ab50764a-b0f9-4d33-83d0-45731bf4d50b"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'Electronic Arts': 960, 'Ubisoft': 498, 'Activision': 498, 'Sony Computer Entertainment': 316, 'THQ': 309, 'Nintendo': 292, 'Sega': 288, 'Take-Two Interactive': 274, 'Konami Digital Entertainment': 248, 'Namco Bandai Games': 241, 'Capcom': 200, 'Atari': 179, 'Microsoft Game Studios': 141, 'Warner Bros. Interactive Entertainment': 139, 'Tecmo Koei': 137, 'Square Enix': 135, 'Eidos Interactive': 125, 'Vivendi Games': 116, 'Codemasters': 113, 'Midway Games': 105, '505 Games': 80, 'Deep Silver': 77, 'Disney Interactive Studios': 75, 'LucasArts': 71, 'Unknown': 67, 'Acclaim Entertainment': 66, 'Nippon Ichi Software': 61, 'Rising Star Games': 52, 'Bethesda Softworks': 48, 'D3Publisher': 36, 'Focus Home Interactive': 31, 'Ignition Entertainment': 30, 'Empire Interactive': 28, 'Atlus': 25, 'Zoo Digital Publishing': 24, 'Kalypso Media': 24, 'Majesco Entertainment': 23, 'PQube': 22, 'TDK Mediactive': 21, 'SouthPeak Games': 21, 'Global Star': 20, 'Universal Interactive': 19, 'Virgin Interactive': 19, 'MTV Games': 17, '3DO': 15, 'Infogrames': 15, 'Paradox Interactive': 13, 'Ubisoft Annecy': 12, 'DTP Entertainment': 12, 'Sony Computer Entertainment Europe': 11, 'Crave Entertainment': 11, 'SCi': 11, 'Ghostlight': 10, 'BAM! Entertainment': 10, 'JoWood Productions': 10, 'Nordic Games': 10, 'Playlogic Game Factory': 10, 'Marvelous Interactive': 9, 'Play It': 9, 'SquareSoft': 9, 'Idea Factory': 8, 'Black Bean Games': 8, 'Gathering of Developers': 8, 'Metro 3D': 8, 'Interplay': 8, 'Spike': 8, 'City Interactive': 8, 'Midas Interactive Entertainment': 8, 'Sony Online Entertainment': 7, 'Microids': 7, 'Kemco': 7, 'Jaleco': 7, 'PopCap Games': 7, 'Destineer': 6, 'GungHo': 6, 'Aksys Games': 6, 'DreamCatcher Interactive': 6, 'Sting': 6, 'Activision Value': 6, 'Natsume': 5, 'Success': 5, 'NCSoft': 5, 'From Software': 5, 'Titus': 5, 'Game Factory': 5, 'Koch Media': 5, 'Takara Tomy': 4, 'Hudson Soft': 4, 'Sammy Corporation': 4, 'Evolved Games': 4, 'Screenlife': 4, 'Bigben Interactive': 4, 'Gamecock': 4, 'Milestone S.r.l.': 4, 'Touchstone': 4, 'Tomy Corporation': 4, 'Marvelous Entertainment': 4, 'RedOctane': 4, 'Yacht Club Games': 4, 'Enix Corporation': 4, 'Compile Heart': 4, 'Xseed Games': 4, 'Hip Interactive': 4, 'Telltale Games': 4, 'Milestone S.r.l': 4, 'Arc System Works': 4, 'Banpresto': 4, 'Enterbrain': 3, 'Indie Games': 3, 'FuRyu': 3, 'Swing! Entertainment': 3, 'GT Interactive': 3, 'Brash Entertainment': 3, 'Idea Factory International': 3, 'Valve Software': 3, 'Falcom Corporation': 3, 'Slightly Mad Studios': 3, 'Trion Worlds': 3, 'Insomniac Games': 3, 'Sony Computer Entertainment America': 3, 'Rage Software': 3, 'Avalon Interactive': 3, 'Zoo Games': 3, 'MC2 Entertainment': 3, 'Mastiff': 3, 'Taito': 3, 'The Adventure Company': 3, 'Destination Software, Inc': 3, 'Little Orbit': 3, 'Nobilis': 3, 'System 3 Arcade Software': 3, 'Wanadoo': 3, 'Genki': 3, 'Psygnosis': 3, 'Mastertronic': 3, 'Ascaron Entertainment GmbH': 2, 'Graffiti': 2, '1C Company': 2, 'Valcon Games': 2, 'Human Entertainment': 2, 'Tripwire Interactive': 2, 'Revolution Software': 2, 'Stainless Games': 2, 'Irem Software Engineering': 2, 'Tru Blu Entertainment': 2, 'Aspyr': 2, 'Sold Out': 2, 'bitComposer Games': 2, 'AQ Interactive': 2, 'NovaLogic': 2, 'Harmonix Music Systems': 2, 'Kadokawa Shoten': 2, 'Rondomedia': 2, 'Rebellion': 2, 'Xplosiv': 2, 'Mindscape': 2, 'Oxygen Interactive': 2, 'Gotham Games': 2, 'Agetec': 2, 'XS Games': 2, 'Gamebridge': 2, 'CCP': 2, 'Agatsuma Entertainment': 2, 'Mad Catz': 2, 'Gust': 2, 'Jester Interactive': 2, 'Square Enix ': 2, 'Funcom': 2, 'DHM Interactive': 1, 'Gearbox Software': 1, 'Global A Entertainment': 1, 'Iceberg Interactive': 1, 'Just Flight': 1, '2D Boy': 1, 'Fox Interactive': 1, 'Alternative Software': 1, 'Flashpoint Games': 1, 'Cloud Imperium Games Corporation': 1, '5pb': 1, 'Kool Kizz': 1, 'Rebellion Developments': 1, 'Hasbro Interactive': 1, 'Conspiracy Entertainment': 1, 'Max Five': 1, 'Team17 Software': 1, 'ESP': 1, 'Monte Christo Multimedia': 1, 'Sunflowers': 1, 'Hello Games': 1, 'Introversion Software': 1, 'Blue Byte': 1, 'Encore': 1, 'CDV Software Entertainment': 1, 'Lighthouse Interactive': 1, 'Crimson Cow': 1, 'Visco': 1, 'FuRyu Corporation': 1, '10TACLE Studios': 1, 'Codemasters Online': 1, 'Graphsim Entertainment': 1, 'Avanquest': 1, 'GOA': 1, 'Lexicon Entertainment': 1, 'Strategy First': 1, 'TopWare Interactive': 1, 'Number None': 1, 'Devolver Digital': 1, 'Xicat Interactive': 1, 'Pinnacle': 1, 'Maxis': 1, 'id Software': 1, 'Dusenberry Martin Racing': 1, 'Valve': 1, 'Navarre Corp': 1, 'Hudson Entertainment': 1, 'RTL': 1, 'Phantagram': 1, 'HMH Interactive': 1, 'Ackkstudios': 1, 'Aqua Plus': 1, 'Bohemia Interactive': 1, 'PM Studios': 1, 'Home Entertainment Suppliers': 1, 'Funbox Media': 1, 'O-Games': 1, 'Wargaming.net': 1, 'Pacific Century Cyber Works': 1, 'NDA Productions': 1, 'Nihon Falcom Corporation': 1, 'Moss': 1, 'Funsta': 1, 'Havas Interactive': 1, 'Zushi Games': 1, 'Media Rings': 1, 'Acquire': 1, 'EA Games': 1, 'White Park Bay Software': 1, 'System 3': 1, 'inXile Entertainment': 1, 'Cave': 1, 'Phantom EFX': 1, 'SNK': 1, 'Black Label Games': 1, 'Russel': 1, 'TalonSoft': 1, 'Level 5': 1, 'Mercury Games': 1, 'Scholastic Inc.': 1, 'Groove Games': 1, 'Square EA': 1, 'Illusion Softworks': 1, 'Myelin Media': 1, 'Tetris Online': 1, 'Square': 1, 'Reef Entertainment': 1, 'ASCII Entertainment': 1, 'Popcorn Arcade': 1, 'Telegames': 1, 'Activision Blizzard': 1, 'DSI Games': 1, 'Sunsoft': 1, 'O3 Entertainment': 1, 'NewKidCo': 1}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def publisher(x):\n",
        "  if x == 'Electronic Arts':\n",
        "    return 'Electronic Arts'\n",
        "  elif x == 'Activision':\n",
        "    return 'Activision'\n",
        "  elif x == 'Ubisoft':\n",
        "    return 'Ubisoft'\n",
        "  elif x == 'Sony Computer Entertainment':\n",
        "    return 'Sony Computer Entertainment'\n",
        "  elif x == 'Nintendo':\n",
        "    return 'Nintendo'\n",
        "  elif x == 'Konami Digital Entertainment':\n",
        "    return 'Konami Digital Entertainment'\n",
        "  else:\n",
        "    return 'other_publisher'\n",
        "\n",
        "filtered_df['Publisher_new'] = filtered_df['Publisher'].map(publisher)\n",
        "\n",
        "filtered_df.head(1)"
      ],
      "metadata": {
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            "text/plain": [
              "         Name Platform  Year_of_Release   Genre Publisher  NA_Sales  EU_Sales  \\\n",
              "0  Wii Sports      Wii           2006.0  Sports  Nintendo     41.36     28.96   \n",
              "\n",
              "   JP_Sales  Other_Sales  Critic_Score  Critic_Count User_Score  User_Count  \\\n",
              "0      3.77         8.45          76.0          51.0          8       322.0   \n",
              "\n",
              "  Developer Rating   Platform_new Developer_new Rating_new Publisher_new  \n",
              "0  Nintendo      E  other_console     other_dev          E      Nintendo  "
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              "            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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    },
    {
      "cell_type": "code",
      "source": [
        "# Removing all unwanted columns from the dataset.\n",
        "\n",
        "new_df = filtered_df.drop(['Platform', 'Genre', 'Publisher', 'User_Score', 'Developer', 'Rating', 'Name'], axis = 1)\n",
        "\n",
        "new_df.head(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 176
        },
        "id": "H1zAhGAU3doK",
        "outputId": "6cbbd6a2-b0e6-4c32-e81c-43e49163fee1"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Year_of_Release  NA_Sales  EU_Sales  JP_Sales  Other_Sales  Critic_Score  \\\n",
              "0           2006.0     41.36     28.96      3.77         8.45          76.0   \n",
              "2           2008.0     15.68     12.76      3.79         3.29          82.0   \n",
              "\n",
              "   Critic_Count  User_Count   Platform_new Developer_new Rating_new  \\\n",
              "0          51.0       322.0  other_console     other_dev          E   \n",
              "2          73.0       709.0  other_console     other_dev          E   \n",
              "\n",
              "  Publisher_new  \n",
              "0      Nintendo  \n",
              "2      Nintendo  "
            ],
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              "      <td>28.96</td>\n",
              "      <td>3.77</td>\n",
              "      <td>8.45</td>\n",
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              "      <td>51.0</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2008.0</td>\n",
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              "      <td>12.76</td>\n",
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              "      <td>3.29</td>\n",
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              "      <td>Nintendo</td>\n",
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              "          const element = document.querySelector('#df-2a0341dc-4a58-4bda-8895-149974e3b053');\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",
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              "  "
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          "metadata": {},
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    },
    {
      "cell_type": "code",
      "source": [
        "y = new_df['Other_Sales']\n",
        "\n",
        "plat_new = pd.get_dummies(new_df['Platform_new'])\n",
        "dev_new = pd.get_dummies(new_df['Developer_new'])\n",
        "rat_new = pd.get_dummies(new_df['Rating_new'])\n",
        "pub_new = pd.get_dummies(new_df['Publisher_new'])\n",
        "\n",
        "X_ = pd.concat([new_df, plat_new, dev_new, rat_new, pub_new], axis = 1)\n",
        "X = X_.drop(['Other_Sales', 'Platform_new', 'Developer_new', 'Rating_new', 'Publisher_new'], axis = 1) \n",
        "\n",
        "X.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        },
        "id": "VFSDv40l3hIO",
        "outputId": "b6db0acc-7b53-4056-c64c-2704dd8a7ea6"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Year_of_Release  NA_Sales  EU_Sales  JP_Sales  Critic_Score  Critic_Count  \\\n",
              "0           2006.0     41.36     28.96      3.77          76.0          51.0   \n",
              "2           2008.0     15.68     12.76      3.79          82.0          73.0   \n",
              "3           2009.0     15.61     10.93      3.28          80.0          73.0   \n",
              "6           2006.0     11.28      9.14      6.50          89.0          65.0   \n",
              "7           2006.0     13.96      9.18      2.93          58.0          41.0   \n",
              "\n",
              "   User_Count  PC  PS2  PS3  ...  M  T  other_rating  Activision  \\\n",
              "0       322.0   0    0    0  ...  0  0             0           0   \n",
              "2       709.0   0    0    0  ...  0  0             0           0   \n",
              "3       192.0   0    0    0  ...  0  0             0           0   \n",
              "6       431.0   0    0    0  ...  0  0             0           0   \n",
              "7       129.0   0    0    0  ...  0  0             0           0   \n",
              "\n",
              "   Electronic Arts  Konami Digital Entertainment  Nintendo  \\\n",
              "0                0                             0         1   \n",
              "2                0                             0         1   \n",
              "3                0                             0         1   \n",
              "6                0                             0         1   \n",
              "7                0                             0         1   \n",
              "\n",
              "   Sony Computer Entertainment  Ubisoft  other_publisher  \n",
              "0                            0        0                0  \n",
              "2                            0        0                0  \n",
              "3                            0        0                0  \n",
              "6                            0        0                0  \n",
              "7                            0        0                0  \n",
              "\n",
              "[5 rows x 29 columns]"
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              "      <th></th>\n",
              "      <th>Year_of_Release</th>\n",
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              "      <td>73.0</td>\n",
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              "      <td>15.61</td>\n",
              "      <td>10.93</td>\n",
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              "      <td>2006.0</td>\n",
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              "      <td>9.14</td>\n",
              "      <td>6.50</td>\n",
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              "<p>5 rows × 29 columns</p>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xzfBpleV3j0-",
        "outputId": "ab397b5c-2973-4613-ed16-a961fe8f2d0d"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Year_of_Release', 'NA_Sales', 'EU_Sales', 'JP_Sales', 'Critic_Score',\n",
              "       'Critic_Count', 'User_Count', 'PC', 'PS2', 'PS3', 'X360',\n",
              "       'other_console', 'Capcom', 'EA', 'Komani', 'Ubisoft', 'other_dev', 'E',\n",
              "       'E10+', 'M', 'T', 'other_rating', 'Activision', 'Electronic Arts',\n",
              "       'Konami Digital Entertainment', 'Nintendo',\n",
              "       'Sony Computer Entertainment', 'Ubisoft', 'other_publisher'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Xtrain, Xtest, ytrain, ytest = train_test_split(X, y, test_size=0.2)"
      ],
      "metadata": {
        "id": "duz21_EG3ma8"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "reg = LinearRegression()\n",
        "model1 = reg.fit(Xtrain, ytrain)"
      ],
      "metadata": {
        "id": "ftyGr8NM3pUn"
      },
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(reg.score(Xtrain, ytrain))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hhFR4jN83sUK",
        "outputId": "280298ed-a8e1-430d-a33e-1b4d40340c84"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.4919491254394004\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Predicting \n",
        "pred = reg.predict(Xtest)\n",
        "\n",
        "r2_score = reg.score(Xtest,ytest)\n",
        "print(r2_score)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kAaNCCe93xH0",
        "outputId": "7e2c8fbd-2a77-4f22-9ee3-7a9a2769f137"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.8755842052415067\n"
          ]
        }
      ]
    }
  ]
}