ISLR
here_here
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ISLR

An Introduction to Statistical Learning with Applications in Python
It’s a well known machine learning book. I’ve read through it and done the exercises in R.
https://github.com/melling/ISLR
There’s an edX course from the authors:

R Markdown: The Definitive Guide
I recently discovered R Markdown. Started doing the ISLR examples with it.
https://github.com/melling/ISLR/blob/main/chapter08/08_Lab02...
https://github.com/melling/ISLR/blob/main/chapter08/08_Lab02...
I need to figure out how to better fit images so I don’t have pages with large gaps
Also, you can now embed executable Python in the files.

The Elements of Statistical Learning [pdf]
I’m up to Chapter 6 in ISLR
https://github.com/melling/ISLR
Would Elements of Statistical Learning be my next book? I’ve seen the Bishop book highly recommended too.
https://www.amazon.com/PatternRecognitionLearningInformat...
here_here

R Markdown: The Definitive Guide
You can avoid project related issues by using the here package.
What are some alternatives?
rmarkdown  Dynamic Documents for R
theelementsofstatisticallearning  My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Neptune.jl  Simple (Plutobased) nonreactive notebooks for Julia
Pluto.jl  🎈 Simple reactive notebooks for Julia
StatsWithJuliaBook
jupytext  Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
ISLR.jl  JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
islrforgis  A repository for the content that is used and generated while completing independent study on using statistical learning methods in GIS.
codebraid  Live code in Pandoc Markdown