{
  "fetched_at": "2026-10-20T05:03:00Z",
  "source_url": "https://www.kaggle.com/competitions/gdsc-data-science-track/data",
  "pages": [
    {
      "name": "data-description",
      "content": "\n## Files\n\n*   **ren.csv** - the training set\n*   **test.csv** - the test set\n*   **sub_simple.csv** - a sample submission file in the correct format __ i made it's name wrong 😂 \n\n## Columns\n\n* id ==> Numeric, the unique identification number of the property\n* latitude ==> Numeric, the latitude of the property\n* longitude ==> Numeric, the longitude of the property\n* property_type ==> Character, the type of property (e.g., apartment, house, etc)\n* room_type ==> Character, the type of room (e.g., private room, entire home, etc)\n* bathrooms ==> Numeric, the number of bathrooms\n* bedrooms ==> Numeric, the number of bedrooms\n* minimum_nights ==> Numeric, the minimum number of nights someone can book\n* price ==> Character, the dollars per night charged ==> Target",
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    {
      "name": "Description",
      "content": "# this is First ML project \nYou have been hired by Inn the Neighborhood, an online platform that allows people to rent\nout their properties for short stays. Currently, the webpage for renters has a conversion rate of\n2%. This means that most people leave the platform without signing up.\nThe product manager would like to increase this conversion rate. They are interested in\ndeveloping an application to help people estimate the money they could earn renting out\ntheir living space. They hope that this would make people more likely to sign up.\nThe company has provided you with a dataset that includes details about each property\nrented, as well as the price charged per night. They want to avoid estimating prices that are\nmore than 25 dollars off of the actual price, as this may discourage people.\nYou will need to present your findings in two formats:\n1. You must submit a written report summarising your analysis to your manager. As a\ndata science manager, your manager has a strong technical background and wants\nto understand what you have done and why.\n2. You will then need to share your findings with the product manager in a 10 minute\npresentation. The product manager has no data science background but is familiar\nwith basic data related terminology.\n\n",
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    {
      "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 - learn\n - Have fun!",
      "isPublished": false,
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}