{
  "fetched_at": "2026-10-20T02:28:55Z",
  "source_url": "https://www.kaggle.com/competitions/crm/data",
  "pages": [
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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    {
      "name": "data-description",
      "content": "<p> <h2> Dataset Description </h2></p>\nIn this competition, you must explore and cleanse a dataset consisting of over 111,000 loan records to determine the best way to predict whether a loan applicant will fully repay or default on a loan. You must then build a machine learning model that returns the unique loan ID and a loan status label that indicates whether the loan will be fully paid or charged off.\n",
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    {
      "name": "Description",
      "content": "<p><h2>Competition Description</h2></p>\n",
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    {
      "name": "Evaluation",
      "content": "\n<p><h2>Evaluation Metric</h2><p>\n",
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      "hasIsPublished": false,
      "postTitle": "",
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      "mimeType": "",
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    },
    {
      "name": "Timeline",
      "content": "<p> The deadline for this competition is 30 April 2020 </p>",
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    },
    {
      "name": "Prizes",
      "content": "<p> This competition is hosted as in-class competition just for practicing your skills. </p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Kernels Requirements",
      "content": "<p> Create your notebook using Python 3.6 kernel </p>",
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}