Feature Engineering - Kaggle course


Kaggle just launched a new course in collaboration with a Kaggle Grandmaster to teach you the most effective way to improve your models: feature engineering.

Covers Categorical Encoding (Target Encoding, CatBoost Encoding...), Feature Generation (Categorical Interactions, Rolling Windows features...) and Feature Selection (Univariate Feature Selection and L1 Regularization).

Experienced data scientists know their models are only as good as the data used to train them. Feature engineering helps you get the most from your data. You’ll usually get more out of good feature engineering than finding the best model and hyperparameters.


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