Intro to Statistical Learning with apps in Python

This was freely released in 2023 from Springer statlearning.com by Gareth James, et. al.

Chapters cover the following topics:

• What is statistical learning?
• Regression
• Classification
• Resampling methods
• Linear model selection and regularization
• Moving beyond linearity

• Tree-based methods
• Support vector machines
• Deep learning
• Survival analysis
• Unsupervised learning
• Multiple testing