{
  "fetched_at": "2026-10-20T04:55:43Z",
  "source_url": "https://www.kaggle.com/competitions/2402-heights-and-weights-dataset/data",
  "pages": [
    {
      "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!",
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    {
      "name": "data-description",
      "content": "<h2>File descriptions</h2>\n<ul>\n<li><strong>train.csv</strong> - the training set</li>\n<li><strong>test.csv</strong> - the test set</li>\n<li><strong>sample submission.csv</strong> - a sample submission file in the correct format</li>\n</ul>\n<h2>Data fields</h2>\n1. height in inch\n2. weight in inch",
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    {
      "name": "Description",
      "content": "# Introduction\nFollowing **24 Ultimate Data Science Projects To Boost Your Knowledge and Skills** [[Link]](https://www.analyticsvidhya.com/blog/2018/05/24-ultimate-data-science-projects-to-boost-your-knowledge-and-skills/). We will go through a sequence of classic data science projects to increase our skill\n\n# Source\n[wiki.stat.ucla.edu](http://wiki.stat.ucla.edu/socr/index.php/SOCR_Data_Dinov_020108_HeightsWeights)\n\n# About this data set\nA simple dataset with 25000 records with 2 attributes.\n\n# Target\nIt's a regression project, that you need to predict the weights by the heights",
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    },
    {
      "name": "Evaluation",
      "content": "**From WIKI**\nThe root-mean-square error (RMSE) is a frequently used measure of the differences between values (sample or population values) predicted by a model or an estimator and the values observed.",
      "isPublished": false,
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