• Stars
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    1
  • Language
    Python
  • Created over 6 years ago
  • Updated over 6 years ago

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Repository Details

In this competition, you are provided with 1.5 years of customers behavior data from Santander bank to predict what new products customers will purchase. The data starts at 2015-01-28 and has monthly records of products a customer has, such as “credit card”, “savings account”, etc. You will predict what additional products a customer will get in the last month, 2016-06-28, in addition to what they already have at 2016-05-28. These products are the columns named: ind_(xyz)_ult1, which are the columns #25 – #48 in the training data. You will predict what a customer will buy in addition to what they already had at 2016-05-28. So we have to select which among the 24 products a user will buy in the 2016-06-28 with respect to what he already has in the previous month.