How to win a data science competition

Course goals Week 1 Intro to competitions & Recap Feature preprocessing & extraction Week 2 EDA Validation Data leaks(what to, how to, how to find it, data leaks exploration) Week 3 Metrics Mean-encodings Week 4 Advanced features(T-sne) Hyperparameter optimization Ensembles(Bagging, stacking) Week 5 Final project Winning solutions Competitions’ concepts Data: Model:(feature transform inclu 去看看~