6. Linear Model Selection and Regularization

Introduction to Statistical Learning using Python

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Welcome
1. Introduction
- Notes
- Video
2. Statistical Learning
3. Linear Regression
- Notes
- Video
- Exercises
4. Classification
- Notes
- Video
- Exercises
5. Resampling Methods
- Notes
- Video
- Exercises
6. Linear Model Selection and Regularization
- Notes
- Video
- Exercises
7. Moving Beyond Linearity
- Notes
- Video
- Exercises
8. Tree-Based Methods
- Notes
- Video
- Exercises
9. Support Vector Machines
- Notes
- Video
- Exercises
10. Deep Learning
- Notes
- Video
- Exercises
11. Survival Analysis and Censored Data
- Notes
- Video
- Exercises
12. Unsupervised Learning
- Notes
- Video
- Exercises
13. Multiple Testing
- Notes
- Video
- Exercises
Appendices
- How to add to the book

Table of contents

Learning Objectives

6. Linear Model Selection and Regularization

Learning Objectives

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