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Solution for the AmExpert 2019 hackaton hosted at AV

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AmExpert 2019

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https://datahack.analyticsvidhya.com/contest/amexpert-2019-machine-learning-hackathon/

Brief problem description:

  • Customers receive coupons under various campaigns and may choose to redeem it.
  • They can redeem the given coupon for any valid product for that coupon as per coupon item mapping within the duration between campaign start date and end date
  • Next, the customer will redeem the coupon for an item at the retailer store and that will reflect in the transaction table in the column coupon_discount.

Target: predict the probability for the next 10 campaigns in the test set for each coupon and customer combination, whether the customer will redeem the coupon or not?

Metric: ROC_AUC score

Leaderboard scores:

Public: 0.8942 (136/1021 place)
Private: 0.8901 (128/1021 place)

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  • Python 100.0%