Introduction to Statistical Learning Using R Book Club
Welcome
1 Introduction
2 Statistical Learning
3 Linear Regression
4 Classification
5 Resampling Methods
6 Linear Model Selection and Regularization
7 Moving Beyond Linearity
8 Tree-based methods
9 Support Vector Machines
10 Deep Learning
11 Survival Analysis and Censored Data
12 Unsupervised Learning
13 Multiple Testing
Abbreviations
Appendix: Bookdown and LaTeX Notes
Published with bookdown

Introduction to Statistical Learning Using R Book Club

Appendix: Bookdown and LaTeX Notes

Ray’s Formatting Notes: version 2021-09-22 https://gist.github.com/RaymondBalise/ee4b7da0a70087317dc52bf479a4e2b6