{
  "fetched_at": "2026-10-20T07:17:53Z",
  "source_url": "https://www.kaggle.com/competitions/css324-bonus-assignment/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<ul>\n<li>Dataset consists of 29 classes.</li>\n<li>train folder contains 26307 rows.</li>\n<li>test folder contains 10032 rown.</li>\n<li>You are required to train on the train.csv folder.</li>\n<li>Make your predictions on the test.csv folder and store the output in \"submission.csv\".</li>\n<li><p>submission file should contain two columns: Id and Category. </p></li>\n<li><p></p> Make submissions by \"submission.csv\"</li>\n</ul>",
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    {
      "name": "Description",
      "content": "Instructions:\nAny instance of cheating will be considered as academic dishonesty and penalty will be applied.\nRestrict to using only Python for coding assignments.\nYou are free to use math libraries like Numpy, Pandas; and use Matplotlib, Seaborn library for plotting.\nUse of machine learning library scikit-learn is allowed.\nNo Deep learning library/technique.\n\nFor the given problem, you may need to:\n\nYou​ ​may​ ​need​ ​to​ ​preprocess​ ​the​ ​data​ ​to​ ​filter​ ​out​ ​outliers,​ ​irrelevant​ ​or redundant​ ​indices,​ ​etc.\nYou​ ​may​ ​need​ ​to​ ​balance​ ​the​ ​data​ ​during​ ​training.\nYou​ ​can​ ​use​ ​any​ ​technique​ ​for​ ​extracting​ ​features.\nThere are marks for scoring (on the basis of Kaggle ranking).",
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      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "submission files should contain two columns: Id and Category.",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "rules",
      "content": "Instructions:\nAny instance of cheating will be considered as academic dishonesty and penalty will be applied.\n\nRestrict to using only Python for coding assignments.\n\nYou are free to use math libraries like Numpy, Pandas; and use Matplotlib, Seaborn library for plotting.\n\nUse of machine learning library scikit-learn is allowed.\n\nNo Deep learning library/technique.\n\n",
      "isPublished": false,
      "hasIsPublished": false,
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}