JWarmenhoven
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 # ISLR-python
-This repository contains Python code for a selection of tables, figures and LAB sections from the book <A target="_blank" href='http://www-bcf.usc.edu/%7Egareth/ISL/index.html'>'An Introduction to Statistical Learning with Applications in R'</A> by James, Witten, Hastie, Tibshirani (2013).<P>
+This repository contains Python code for a selection of tables, figures and LAB sections from the first edition of the book <A target="_blank" href='https://www.statlearning.com/'>'An Introduction to Statistical Learning with Applications in R'</A> by James, Witten, Hastie, Tibshirani (2013).<P>
 
  For **Bayesian data analysis** using PyMC3, take a look at <A href='https://github.com/JWarmenhoven/DBDA-python'>this repository</A>.
 
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 #### References: 
 James, G., Witten, D., Hastie, T., Tibshirani, R. (2013). <I>An Introduction to Statistical Learning with Applications in  R</I>,  Springer Science+Business Media, New York.
-http://www-bcf.usc.edu/~gareth/ISL/index.html
+https://www.statlearning.com/
 
 Hastie, T., Tibshirani, R., Friedman, J. (2009). <I>Elements of Statistical Learning</I>, Second Edition, Springer Science+Business Media, New York.
 http://statweb.stanford.edu/~tibs/ElemStatLearn/