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Dawny33 avatar Dawny33 commented on May 22, 2024

Yeah, thanks for adding it up. Really a great course by the authors of the book "The Elements of Statistical Learning".

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tcfuji avatar tcfuji commented on May 22, 2024

Just to be clear, that MOOC is based on "An Introduction to Statistical Learning, with Applications in R" (http://www-bcf.usc.edu/~gareth/ISL/), which is a more "introductory" version of Elements of Statistical Learning. Both the MOOC and the book (in the website above) should be added.

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clarecorthell avatar clarecorthell commented on May 22, 2024

The slides are a good summary of the book, but don't add enough meaningful guidance to the material. Anything out there that does?

It's great that they provide the intro version of ESLII here (http://www-bcf.usc.edu/~gareth/ISL/ISLR%20First%20Printing.pdf), I'm adding that.

I include the best of the most comprehensive resources for every topic, keep submitting pull requests if you find better resources than those listed! This list is curated by the community, but it's most meaningful when inclusive only of the best resources.

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tcfuji avatar tcfuji commented on May 22, 2024

@clarecorthell Hastie and Tibshirani provide video lectures, quizzes, and R tutorials for the MOOC. However, the website claims that enrollment to the MOOC will stop at the assignment deadline (March 21). Do you think it is worth posting?

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clarecorthell avatar clarecorthell commented on May 22, 2024

You should ask them if they can leave it up! The demand is definitely there.

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clarecorthell avatar clarecorthell commented on May 22, 2024

If you'd like to add these resources to the R curriculum, please submit a pull request. Closing the issue.

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