homemade-machine-learning
the-elements-of-statistical-learning
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homemade-machine-learning
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✨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free 💯
4️⃣ Homemade Machine Learning
the-elements-of-statistical-learning
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The Elements of Statistical Learning [pdf]
This collection of Jupyter notebooks that reproduces graphics and implements algorithms from the book could be a nice supplementary resource https://github.com/maitbayev/the-elements-of-statistical-lea...
What are some alternatives?
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
ISL-python - Porting the R code in ISL to python. Labs and exercises
wordle-solver - For educational purposes, a simple script that assists in solving the word game Wordle.
ISLR - Introduction to Statistical Learning
rmi - A learned index structure
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
hdbscan - A high performance implementation of HDBSCAN clustering.
PythonRobotics - Python sample codes for robotics algorithms.
CFDPython - A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
raku-jupyter-kernel - Raku Kernel for Jupyter/IPython notebooks
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.
Sharing_ISL_python - An Introduction to Statistical Learning with Applications in PYTHON