sklearn
Introduction
Introduction
uses numpy, matplotlib/plotly, pandas, scipy
xgboost
Dimensionality reduction including PCA
Model selection including grid search and cross-validation
k-means clustering
Support vector machines (SVMs)
Regressions
trees, forests, gradient boost trees, xgboost