ML Algorithms : Classification, Regression, Clustering, and Collaborative filtering
Featurization : Feature extraction, Transformation, Dimensionality reduction, and Selection
Pipelines : Tools for constructing, evaluating, and tuning ML pipelines
Persistence : Saving and loading algorithms, models, and pipelines
Utilities : Linear algebra, statistics, data handling
