{
  "fetched_at": "2026-10-20T11:21:12Z",
  "source_url": "https://www.kaggle.com/competitions/30-days-of-ml-2/data",
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    {
      "name": "data-description",
      "content": "\n<h2>File descriptions</h2>\n<ul>\n<li><strong>training.csv</strong> - the training set. Use this to train your classification model</li>\n<li><strong>test.csv</strong> - the test set. You will input these values into your trained model to make a prediction</li>\n<li><strong>sample.csv</strong> - a sample submission file in the correct format</li>\n\n</ul>\n<h2>Data fields</h2>\n<ul>\n<li><strong>User Id</strong> - A number unique to every customer. No two customers have the same User Id</li>\n<li><strong>Gender</strong> - Male or Female</li>\n<li><strong>Age</strong> - Age of the user</li>\n<li><strong>EstimatedSalary</strong> - Estimated salary of the user </li> \n<li><strong>Purchased</strong> - Whether or not the user purchased the ticket. 1 if the user purchased it and 0 otherwise.</li> \n</ul>",
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      "name": "Description",
      "content": "# DAY 14-16 \n## HELPING THE MERRY MEN\n\nNollywood is selling tickets to their newly released movie   \n**MERRY MEN** starring your friendly neighbourhood Babalawo **GeekTutor**  \n   \nAdvertisements are placed on all social media platforms along with  link to buy tickets to the movie. Different users view the ads. Some buy the tickets, some don't.   \n\nThe data of 320 users that viewed the ad are stored.   \n  \nYou are a Machine Learning Engineer working at Nollywood you are to create a model using this data to predict if a user will or will not buy the ticket so they can tailor the adverts to the right user. \n\n###Goodluck",
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      "name": "Evaluation",
      "content": "## Data  \nCheck the data section. Each document has been described.  \n    \n## Submission\nYou will submit a csv file with two columns **User Id** and **Purchased** an each row will correspond to that of the test data.\n<pre>User Id,Purchased\n15657163,0\n15577514,1\n15807909,0\n15646091,1\n15730688,0\n</pre>\n\nJust as described above this is what your submission should look like. You can refer to **sample.csv** in the data section.   \n\nYou have a maximum of 20 submissions per day.    \n   \n### Submissions close on 24/06/2020 by 5:00am\n\n## Evaluation Metric   \nYou will be scored based on **Categorization Accuracy**   \nYour score will vary from 0.0000 to 1.0000.",
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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 - Have fun!",
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