Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
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README.md

ISLR -- Python: Labs and Applied

Python code for Labs and Applied questions from the book: 'Introduction to Statistical Learning with Applications in R' by James, Witten, Hastie and Tibshirani (2013).


This well-written book provides an excellent introduction to statistical learning methods. The algorithms and datasets used in the book are written in R. Since I use python for data analysis, I decided to rewrite the labs and answer the applied questions using python and the following packages:

Numpy
Scipy
Pandas
Scikit-learn
Statsmodels
Patsy
Matplotlib

I have also converted the R datasets into csv files. These can be found in the data directory.

The code for each lab or applied question is written in a Jupyter notebook. For the applied questions, there is no guarantee that the solutions are correct. Suggestions and corrections are always welcome.

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