PyImpetus
homemade-machine-learning
Our great sponsors
PyImpetus | homemade-machine-learning | |
---|---|---|
1 | 7 | |
116 | 22,531 | |
- | - | |
1.4 | 3.8 | |
about 1 year ago | 9 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT 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.
PyImpetus
-
[P] PyImpetus - A Markov Blanket based new SOTA feature selection algorithm for python
Link to the GitHub repo
homemade-machine-learning
- Homemade Machine Learning
-
✨ 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
What are some alternatives?
machine_learning_basics - Plain python implementations of basic machine learning algorithms
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
hdbscan - A high performance implementation of HDBSCAN clustering.
wordle-solver - For educational purposes, a simple script that assists in solving the word game Wordle.
humble-benchmarks - Benchmarking programming languages using statistics and machine learning algorithms
rmi - A learned index structure
feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials
PythonRobotics - Python sample codes for robotics algorithms.
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
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.
CFDPython - A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/