{
  "fetched_at": "2026-10-19T12:46:59Z",
  "source_url": "https://www.kaggle.com/competitions/ammi-bootcamp-kaggle-competition/data",
  "pages": [
    {
      "name": "rules",
      "content": "\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "data-description",
      "content": "The data summarize 258210 wine reviews:\n\n• 175000 are the training set, the data on which to train your models;\n\n• the remaining 83210 observations constitute the validation set (or score set), or the data on which you must make the estimate for the submission.\nThe validation set at your disposal obviously does not contain the variable price, the price of the bottle of wine that the goal of your forecast.\n\n**The variables present are:**\n\ncountry (String) The country that the wine is from\n\nprovince (String) The province or state that the wine is from\n\nregion_1 (String) The wine growing area in a province or state (ie Napa)\n\nregion_2 (String) Sometimes there are more specific regions within the wine growing area (ie Rutherford inside the Napa Valley), but this value can sometimes be blank\n\nwinery (String) The winery that made the wine\n\nvariety (String) The type of grapes used to make the wine (ie Pinot Noir)\n\ndesignation (String) The vineyard within the winery where the grapes that made the wine are from\n\ntaster_name (String) taster name\n\ntaster_twitter_handle  (String) taster twitter account name\n\nreview (String) A few sentences from a sommelier describing the wine's taste, smell, look, feel, etc.\n\nreview_score (Numeric) Number of points WineEnthusiast rated the wine on a scale of 1-100 \n\nTARGET: price (Numeric) The cost for a bottle of wine",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
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    },
    {
      "name": "Description",
      "content": "Let's try to predict the price of a bottle of wine based on a collection of over one hundred thousand reviews  and other product features.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "The accuracy of your forecasts will be evaluated using the Root Mean Squared Error (RMSE).\n\nAn example code for the calculation:\n\nRMSE = sqrt (mean ((predicted-true) ^ 2))",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}