{
  "fetched_at": "2026-10-24T19:33:58Z",
  "source_url": "https://www.kaggle.com/competitions/gdsc-hics-machinelearning-hackathon/data",
  "pages": [
    {
      "name": "data-description",
      "content": "",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "Hello everyone !\nwelcome to the first machine learning hackthon of GDSC HICS (2021/2022).\nWe already learned a lot about machine learning, data preprocessing, supervised learning algorithms and unsupervised learning algorithms, it's about time we put some of what we saw to practice!\nIn this compitions you are presented with a very simple labeled dataset indicating whether or not a person is diabetic and you are asked to write a machine learning model to help predict that outcome based on the presented featuers.\nWe highly encourage to go through the study material again (you can find it here : https://github.com/Mohamed-Aziz-Ben-Nessir/GDSC-Presentations ), and please do not hesitate to contact us in case you find any difficulties.\nhave fun & good luck :) !",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": ".",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "rules : \n1. Have fun \n2. Don't upload someone else's work but feel free to read through any notebook you like\n3. You can use any algorithm you want \n4. You can ask us to help you fix your notebook (but we can say no ;) )\n5. Have fun",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}