{
  "fetched_at": "2026-10-20T01:58:50Z",
  "source_url": "https://www.kaggle.com/competitions/bdma2021-updrive/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The original data were scraped from a used car website using the\n=webscraper.io= Chrome extension mentioned in class.\n\nYou will be using cleaned-up data based on the original scraped\ndataset with some (but not all) of the information available from the\nwebsite.",
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    {
      "name": "Description",
      "content": "Your second project at Double Zero Data, the prestigious analytics consulting firm you work for, is to help UpDrive, a car dealer firm specialized in trading used cars in Europe. UpDrive focuses on acquiring and selling used cars in Europe, taking advantage of asymmetry of information, moral hazard and adverse selection. In some cases, UpDrive adds value by making simple and cheap repairs and/or upgrades in the cars they buy to sell later with a higher price and make more profit. In other cases, UpDrive just identifies market opportunities when a car is made available at a price much lower than expected, allowing it to make a quick sell at a profit.\n\nAs a first step towards a complete solution, you decide to assess how easy it is to predict used car price as a function of some of their publicly available characteristics. This task will provide you with some information on the likelihood that you can develop a good solution for UpDrive. You decide to scrape data from a used car online platform aiming to gather data about all used cars in Europe. After some data cleansing, you have created a proper dataset with several attributes (columns) and thousands of observations (rows). This dataset has variables that might or might not be useful to predict the listing price of a used car.\n\nYou should run the models you believe are adequate and that you believe will provide the best predictions. You can use the knowledge acquired in the Individual Assignment as starting point for this task. This task is different from the task in the Individual Assignment in at least one important aspect. There are more than two classes. Your goal is to predict to which price range (out of 6 ranges) does a used car belong to. \n",
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    },
    {
      "name": "Evaluation",
      "content": "For the context of this competition the best model is the model that predicts outcomes with highest accuracy, so you should use the variable **price_category** as your target variable.",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "rules",
      "content": " - Don't cheat!\n - Apply yourself!\n - Have fun!",
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}