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Solutions to the labs and exercises in ISL.

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ISL

An Introduction to Statistical Learning with applications in R [1] is a classic textbook written by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. This repository contains my solutions to the labs and exercises, I follow in Python rather than R, with heavy use of: numpy, pandas, sklearn, matplotlib, seaborn, patsy and statsmodels.

isl

Quickstart

  1. git clone git@github.com:coxy1989/ISL.git

  2. cd ISL

  3. conda env create -f environment.yml

  4. source activate isl

  5. jupyter notebook

Run the notebooks

References

[1] Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani. An Introduction to Statistical Learning with Applications in R. New York Springer, 2013.

This repository was split out from mlsabattical on 09/01/2018