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Santander Product Recommendation competition on Kaggle

Please download the datasets from the Kaggle competition page before running the codes.

Edit the path to the files in model_xgb.R as well as prepare_submission_file.py

model_xgb.R imports the raw data, creates the features, trains the model and generates the predictions for the test data.
prepare_submission_file.py creates the final submission file in Kaggle's required format, after removing products already owned by customers.

This model scores ~ 0.03102 on the private LB, ranked 11th.