{
  "fetched_at": "2026-10-24T03:22:24Z",
  "source_url": "https://www.kaggle.com/competitions/challenge-datascience-wind-turbine-cs/data",
  "pages": [
    {
      "name": "data-description",
      "content": "",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "# Welcome to the 2022 CS Data Challenge\n\n\nThis year the challenge takes place on the Kaggle In-Class platform. It provides some really interesting features which should help you to work from home. \n\nIt allows you to : \n- work as a team\n- access data\n- code online (notebook or scripts)\n- submit your predictions\n\nWe will of course guide you for your first steps on that platform.\n\n## Data context\n\nWe will dive into wind turbines world in order to predict more accurately the wind power production of turbines in terms of kW. The data was measured with sensors inside the turbines. The idea here is to determine a solution to predict a production (in kW) based on values measured by sensors within the wind turbines.\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "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!👍 ",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}