{
  "fetched_at": "2026-10-19T12:00:13Z",
  "source_url": "https://www.kaggle.com/competitions/first-steps-in-data-science-new/data",
  "pages": [
    {
      "name": "data-description",
      "content": "## Files\n\n*   **train.csv** - the training set\n*   **test.csv** - the test set\n*   **sample.csv** - a sample submission file in the correct format\n\n## Columns\n\n*   `id` - unique id of a row\n*   `C_X` - Feature X [1 - 199]",
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      "name": "Description",
      "content": "The competition is aimed at introducing participants to the basics of Machine Learning and the Kaggle platform. It provides an opportunity to apply ML techniques to solve real-world problems, even if you have no prior experience in the field.\n**Task: Regression**\nThe task is to predict the values of the \"Target\" column using machine learning algorithms.",
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      "name": "Evaluation",
      "content": "The evaluation metric for this competition is the Root Mean Squared Error (RMSE).\n\nRMSE is a commonly used metric for evaluating the accuracy of a regression model. It measures the average difference between the predicted values and the actual values. The lower the RMSE, the better the model is at predicting the actual values.\n\nhttps://en.wikipedia.org/wiki/Root-mean-square_deviation\n## Submission File\nFor each ID in the test set, you must predict a probability for the TARGET variable. The file should contain a header and have the following format:\n\n    id,Target\n    2,0\n    5,0\n    6,0\n    etc.",
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      "name": "rules",
      "content": "1. Individual submissions are required, teaming is not permitted.\n2. You can submit the solution.csv file either by uploading it or by using a notebook.\n3. Googling is allowed, so feel free to explore as much as you can.\n4. A tutorial notebook has been provided and you are free to use it and make changes.\n5. Any questions can be asked in the discord server or the discussion panel for this competition.\n8. Learning resources have been provided in the starter notebook.\nAll the best!!!",
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    {
      "name": "abstract",
      "content": "First Steps in Data Science  competition is designed specifically for beginners in the field of Machine Learning (ML), making it a perfect opportunity for anyone interested in exploring this exciting domain.",
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