homemade-machine-learning
raku-jupyter-kernel
homemade-machine-learning | raku-jupyter-kernel | |
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7 | 3 | |
22,943 | 72 | |
- | - | |
1.0 | 6.5 | |
4 months ago | 5 months ago | |
Jupyter Notebook | Raku | |
MIT License | Artistic License 2.0 |
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homemade-machine-learning
- Homemade Machine Learning
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✨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free 💯
4️⃣ Homemade Machine Learning
- Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
- Homemade Machine Learning: Python examples of popular machine learning algorithms
- Homemade Machine Learning: Python examples of popular machine learning algorithms with interactive Jupyter demos
raku-jupyter-kernel
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Raku for the the scientist/PROGRAMMER that is hitting the limits of Python
Hi u/ArcadesOfAntiquity - this is an excellent point, thank you for mentioning it. I am a very big proponent of raku on Jupyter!! I highly recommend Brian Duggan's https://github.com/bduggan/p6-jupyter-kernel and have used it to illustrate the capabilities of a couple of my modules Physics::Measure and Physics::Navigation by way of test driving this very powerful tool.
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What's your setup for writing Raku code? (repl, editor, etc)
I recently came across a link to an alternate repl for Raku, and it made me realize that I've never asked folks on here about their setups for writing Raku code – there could be some great tools that I've missed. So, what all do you use? Is there anything that you love?
What are some alternatives?
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
raku-study - Exploratory programming using the Raku language
wordle-solver - For educational purposes, a simple script that assists in solving the word game Wordle.
jupyter-themes - Custom Jupyter Notebook Themes
rmi - A learned index structure
flycheck-raku - Raku support for Flycheck
PyImpetus - PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
raku-most-wanted - Most wanted features and modules for the Raku distro release
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
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
AlgorithmicTrading - This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust