ISLR
Neptune.jl
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| ISLR | Neptune.jl | |
|---|---|---|
| 4 | 1 | |
| 54 | 69 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | almost 2 years ago | |
| R | Julia | |
| - | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ISLR
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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:
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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.
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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/Pattern-Recognition-Learning-Informat...
Neptune.jl
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R Markdown: The Definitive Guide
If you're interested in Pluto.jl, I recently saw an announcement about Neptune.jl[1], which appears to remove some of the reactive nature of Pluto. An interesting read anyway and maybe worth trying.
What are some alternatives?
Pluto.jl - 🎈 Simple reactive notebooks for Julia
the-elements-of-statistical-learning - My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
codebraid - Live code in Pandoc Markdown
rmarkdown - Dynamic Documents for R
here_here - I love the here package. Here's why.
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
StatsWithJuliaBook
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"