Author: Jessica Cabral
Exercises for "An Introduction to Statistical Learning with Applications in R Python"
In these repository you will find all exercises of the book in Python with Jupyther Notebook.
All the book exercises is aggregated into one repo.
http://statlearning.class.stanford.edu/
| Cap Number | Cap Name | Cap Pags | Link to Repo |
|---|---|---|---|
| 10 | Unsupervised Learning | 413 - 418 | Coming Soon |
| 9 | Support Vector Machines | 368 - 372 | Coming Soon |
| 8 | Tree-Based Methods | 332 - 336 | Coming Soon |
| 7 | Moving Beyond Linearity | 297 - 302 | Coming Soon |
| 6 | Linear Model Selection and Regularization | 259 - 264 | Coming Soon |
| 5 | Resampling Methods | 197 - 201 | Coming Soon |
| 4 | Classification | 168 - 173 | Coming Soon |
| 3 | Linear Regression | 120 - 126 | Coming Soon |
| 2 | Statistical Learning | 52 - 57 | Exercises Repo |