4. Classification
Notes

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
Examples
- Example Quarto Document
- 1 NumPy
Appendices
- How to add to the book

4. Classification
Notes

Notes

4. Classification

Source Code

# Notes {-}