##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.
链接:
https://github.com/sujitpal/statlearning-notebooks/blob/master/README.md
原文链接:
https://m.weibo.cn/1402400261/4135493777921588