Algorithms from the book "Elements of Statistical Learning", implemented in Python.
Most algorithms are implemented in a very inefficient manner as the goal is to aim for maximum readability. I've tried to make the code be easy to follow and figure out what it is doing. I hope you like it.
- Book website: http://statweb.stanford.edu/~tibs/ElemStatLearn/
- Repository link: https://github.com/MillionIntegrals/ESL
You need to have following packages installed on your system to run these examples:
- numpy
- pandas