{
  "fetched_at": "2026-10-20T02:24:05Z",
  "source_url": "https://www.kaggle.com/competitions/bricolo-company-employees/data",
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    {
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      "content": "## Call for AiFest'23 attendees: Hamid needs your help\n\nFirst, meet Hamid, the owner of his own startup called *Bricolo*. <br>\nAs a business owner, he has a lot of stuff to do, that's why he tends to hire a lot of employees. <br> **BUT**, he has an issue. He thinks that some of his employees are not loyal and are willing to leave their posts! <br>\nHamid provided a dataset of previous employees that left (or not) their jobs during the last period.\n\n### Dataset\n\nIt is formed of the following: <br>\n - **satisfied**: means whether that employee was satisfied of his job.\n - **evaluation**: means the result of the evaluation of that employee.\n - **projects**: stands for number of projects that the current employee has been involved in, they are encoded as strings separated by columns.\n - **work_hours**: means the number of work hours of the employee.\n - **total_time_spent**: stands for the number of hours spent on the job.\n - **had_accident**: means whether that employee had an accident in the work previously, or not.\n - **still_working**: means whether that employee is still working for Hamid or not.\n - **got_promoted**: means whether that employee had previously been promoted or not.\n - **department**: stands for the department that the employee is currently working in.\n - **salary_range**: stands for the range of payment that the employee gets at the end of each month.\n\n ### Target:\n\n You need to help *Hamid* by predicting which of his employees in the *testing* dataset will be leaving **Bricolo**. \n \n Train your **Model** on the training dataset then **test** it! ",
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      "name": "Description",
      "content": "## Call for AiFest'23 attendees: Hamid needs your help !\n\nHelp Hamid to distinguish between loyal and disloyal employees.\n",
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    {
      "name": "rules",
      "content": "Please follow the rules of the competition and make sure to be HONEST !",
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