ISLRv2 Solutions
1 Introduction
2 Statistical Learning
- 2.1 Conceptual
- 2.2 Applied
3 Linear Regression
- 3.1 Conceptual
- 3.2 Applied
4 Classification
- 4.1 Conceptual
- 4.2 Applied
5 Resampling Methods
- 5.1 Conceptual
- 5.2 Applied
6 Linear Model Selection and Regularization
- 6.1 Conceptual
- 6.2 Applied
7 Moving Beyond Linearity
- 7.1 Conceptual
- 7.2 Applied
8 Tree-Based Methods
- 8.1 Conceptual
- 8.2 Applied
9 Support Vector Machines
- 9.1 Conceptual
- 9.2 Applied
10 Deep Learning
- 10.1 Conceptual
- 10.2 Applied
11 Survival Analysis and Censored Data
- 11.1 Conceptual
- 11.2 Applied
  - 11.2.1 Question 10
  - 11.2.2 Question 11
12 Unsupervised Learning
- 12.1 Conceptual
- 12.2 Applied
13 Multiple Testing
- 13.1 Conceptual
- 13.2 Applied
  - 13.2.1 Question 7
  - 13.2.2 Question 8
Published with bookdown

An Introduction to Statistical Learning

An Introduction to Statistical Learning

Exercise solutions in R

1 Introduction

This bookdown document provides solutions for exercises in the book “An Introduction to Statistical Learning” by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.