bkg6/statlearning-notebooks

Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).

##StatLearning Notebooks##

IPython notebooks that implement the R code for the StatLearning: Statistical Learning online course from Stanford University taught by Profs Trevor Hastie and Rob Tibshirani. The original code for the classes were written in R.

List of Notebooks:

• Chapter 2: Basic Operations
• Chapter 3: Linear Regression
• Chapter 4: Classification
• Chapter 5: Cross-Validation and Bootstrap
• Chapter 6: Feature Selection
• Chapter 7: Nonlinear Models
• Chapter 8: Decision Trees
• Chapter 9: Support Vector Machines
• Chapter 10: Unsupervised Methods

The notebooks are also accessible from A gallery of interesting IPython Notebooks under the Statistics, Machine Learning and Data Science section. More information in my blog post.

This project was linked from Statistics.md of this project containing many curated lists of links to Python scientific programming resources.