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