ISLR
codebraid
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| ISLR | codebraid | |
|---|---|---|
| 4 | 4 | |
| 54 | 344 | |
| - | - | |
| 0.0 | 3.6 | |
| over 2 years ago | about 2 months ago | |
| R | Python | |
| - | BSD 3-clause "New" or "Revised" License |
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...
codebraid
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Literate DevOps
If you want Markdown instead of Org Mode, Codebraid is great.
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[D] 7 years since Norm Matloff's blog post "STATISTICS: LOSING GROUND TO CS, LOSING IMAGE AMONG STUDENTS". How has the statistics vs CS situation evolved?
Fortunately, literate programming is a thing, so there are still tools for that. If you want PDF/HTML output facilities, it looks like CodeBraid is the way to go. It uses the Pandoc framework, so you can do all kinds of neat things with it.
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R Markdown: The Definitive Guide
For the Python in markdown case, you might be interested in one of my projects that allows executable Python code (including optional Jupyter kernel support) in Pandoc markdown: https://github.com/gpoore/codebraid. Pandoc does all the document parsing (there is no regex preprocessor for extracting code), so converting markdown to markdown often works particularly well.
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How I use Pandoc to create programming eBooks
A tool that really helped me was codebraid, it allows me to keep the code and output of said code in sync really easily.
What are some alternatives?
mdBook - Create book from markdown files. Like Gitbook but implemented in Rust
rmarkdown - Dynamic Documents for R
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
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
Pluto.jl - 🎈 Simple reactive notebooks for Julia
Neptune.jl - Simple (Pluto-based) non-reactive notebooks for Julia
gedit-plugin-markdown_preview - A gedit plugin previewing markdown (.md) documents
bert - TensorFlow code and pre-trained models for BERT
here_here - I love the here package. Here's why.