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ISL is the best intro-level textbook of classic ML methods. It‘s theory-oriented yet simple enough to appeal to a wide audience of students (with basic knowledge in stats, linear algebra, and coding).

Having the examples only in R was a pain when teaching with it while using Python. I hope they‘ll now turn this into a series of Jupyter notebooks and distribute it through Colab or similar.



> I hope they‘ll now turn this into a series of Jupyter notebooks

You can find them here: https://www.statlearning.com/resources-python


Thanks for sharing. That‘s exactly what I was looking for.




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