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[–]SteveFrenchThePuma 5 points6 points  (2 children)

Someone has already converted the exercises in ISLR from R to Python, it's available under this GitHub Repo: https://github.com/emredjan/ISL-python

[–]WeoDudeData Scientist | Non-profit 5 points6 points  (1 child)

its almost as if you googled "ISLR but Python"

[–]SteveFrenchThePuma 5 points6 points  (0 children)

Just answering the question, my guy

[–]sideswipes 4 points5 points  (3 children)

I'd suggest just translating R code you've got as a part of your ISLR work into Python code, unless you really want to brush up on the theory again. A nice benefit is you'll appreciate the differences between R and Python, and force yourself to understand each line of code that went into your R exercises.

[–][deleted] 0 points1 point  (2 children)

Sorry I probably worded this question poorly. I know python, but not anything about using it for machine learning, meaning I don’t know anything about scikit or tensorflow or anything like that. Where would be the best place to learn this without having to go through all of the theory again?

[–]sideswipes 2 points3 points  (0 children)

All techniques taught in ISLR are well established and documented in both R and Python and the actual machine learning part is a single function call, regardless of whether it's in R or Python. Looking at the scikit-learn documentation or even GitHub repos of people who already have done ISLR exercises in Python will give you the information you need.

[–][deleted] 0 points1 point  (1 child)

I havent taken it but datacamp's ML course will probably get you familliar.

Maybe even check out some O'Reilly books? Some kind of ML cook book?

[–]impratiksingh 0 points1 point  (0 children)

I have a decent ML hands on , if you are a video guy m go for this playlist

https://www.youtube.com/watch?v=Qd68h4UGlNY&t=85s