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  "fetched_at": "2026-10-20T03:10:15Z",
  "source_url": "https://www.kaggle.com/competitions/cat-reloaded-data-science-competition-2-0/data",
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      "content": "\n\n## Files\n\n*   **train_dataset.csv** - the training set\n*   **test_dataset.csv** - the test set\n*   **sample_submission.csv** - a sample submission file in the correct format \n\n## Important Note\nYou Can assume that the data is collected in 2024.\n\n\n## Columns\n\n* `ID`: A unique identifier for each car in the dataset.\n* `Brand`: The manufacturer or brand of the car, such as Toyota, Ford, or Honda.\n* `VehicleModel`: The specific name of the car model produced by the manufacturer, such as Elantra.\n* `ManufacturingYear`: The year the car was manufactured.\n* `Type`: The category or classification of the car, such as Sedan, Hatchback, etc.\n* `Rating`: A numerical or categorical rating indicating the car's quality.\n* `Color`: The exterior color of the car.\n* `Duty`:  The tax associated with the car.\n* `Fuel`: The type of fuel the car uses, such as gasoline, diesel, or electric hybrid.\n* `CylinderCount`: The number of cylinders in the car's engine.\n* `Type of Gear`: The type of transmission the car has, such as manual or automatic.\n* `Capacity`: The Engine Volume.\n* `Odometer`: The total distance the car has traveled, measured in kilometers.\n* `#Airbags`: The number of airbags installed in the car for passenger safety.\n* `Price`: The cost or market value of the car.",
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      "name": "Description",
      "content": "## Car price prediction\n\nYour task is to predict the price of a car based on the following features:\n - Brand              \n - VehicleModel       \n - ManufacturingYear  \n - Type             \n - rating             \n - color \n - and more (check the dataset)\n",
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      "name": "Evaluation",
      "content": "---\n\nSubmissions are evaluated on [The Mean Absolute Error](https://en.wikipedia.org/wiki/Mean_absolute_error) between the predicted price and the target price.\n`The lesser the value the more score you have`\n\n## Submission File\nFor each ID in the test set, you must predict the price . The file should contain a header and have the following format:\n\n    ID,Price\n    1,  0\n    2,  0\n    3,  0\n    etc.\n",
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    {
      "name": "rules",
      "content": " - Don't cheat!\n - Apply yourself!\n - Have fun!\n - Not allowed to use any external datasets.",
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    {
      "name": "abstract",
      "content": "The main purpose of this competition is to have fun!!",
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