{
  "fetched_at": "2026-10-24T17:54:02Z",
  "source_url": "https://www.kaggle.com/competitions/enkaaiclubcompetition/data",
  "pages": [
    {
      "name": "data-description",
      "content": "\n## Files\n\n*   **train.csv** - the training set\n*   **test.csv** - the test set\n*   **sample_submission.csv** - a sample submission file in the correct format\n",
      "isPublished": false,
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    {
      "name": "Description",
      "content": "Hi!\n\nNow there is a little competition designed just for you guys.\nYou will be given with small piece of data, only you have to do is using the algorithms you have seen whether in the lesson or kaggle's ML course.\nDon't worry if you didn't understand/listened any of those. You still have time to learn. This competition will be open approximately two months. Also, don't forget, other competitors are also newly began to this journey, just like you. If you think you can't do something magnificent, probably your peers would be thinking same. So take a deep breath and start coding. Good luck!\n\n!!!Instructions!!!\nYou can access the train and test data for competition from 'Data' sub-page. Use to train data for train you algorithm and test data for making predictions.\n\nYou can add this code if you want if you had troubles with submitting your predictions.\n\n```\nsample_submission[\"views\"] = prediction_of_yours\nsample_submission.to_csv(\"submission\", index=False )\n```",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "\n\nThe evaluation metric for this competition is RMSE\nYour submission file should have a 'id' column starting from 0, and 'views' column.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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      "mimeType": "",
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    },
    {
      "name": "rules",
      "content": "\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}