The 2nd edition of An Introduction for Statistical Learning (with R examples) is out!
The following topics were added to the 2nd edition:
- Deep learning
- Survival analysis
- Multiple testing
- Naive Bayes and generalized linear models
- Bayesian additive regression trees
- Matrix completion
A free PDF version is available here https://www.dropbox.com/s/krvhmt7z8zxhl7f/ISLRv2_website.pdf?dl=0
You can see the examples in python at https://github.com/JWarmenhoven/ISLR-python
Big thanks to the authors - Prof. G. James, Prof. D. Witten, Prof. T. Hastie, and Prof. R. Tibshirani for creating this amazing resource and making it available for free!