【推荐】斯坦福统计学习导论习题解答Python版

##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.