Santander Product Recommendation

This code was written by Mu Tian ([email protected]) and Zhonglin Han ([email protected]). It provides our best submission to the Kaggle Santander Product Recommendation Competition. We ranked 16 (12 in public leaderboard). To view a write up for our approaches, please check Kaggle Santander Product Recommendation Solution(Public LB 12nd) at Zhonglin Han's Blog.

Usage:

[python] Recommender.py

Configs (parameters, feature selection, data paths) for our model can be specified in helper.config

Requirements:

This code requires Python, numpy/scipy, scikit-learn, LightGBM, XGBoost and pandas