{
  "fetched_at": "2026-10-20T02:15:06Z",
  "source_url": "https://www.kaggle.com/competitions/crypt-compet/data",
  "pages": [
    {
      "name": "data-description",
      "content": "Preprocess the given data and provide the optimal solution\n\n*   **train.csv** - the training set\n*   **test.csv** - the test set\n*   **preds.csv** - a sample submission file in the correct format\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "Develop an ML model to predict the stock prices",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "You should upload the prediction for the test dataset. You will be evaluated using RMS. Upload your output as CSV file.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "Don't involve in any kind of malpractice \nA candidate can be eliminated at any point in time if he caucaught fraudulent activities.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}