geoninja/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.