pattern_classification
homemade-machine-learning
| pattern_classification | homemade-machine-learning | |
|---|---|---|
| 1 | 7 | |
| 4,092 | 22,545 | |
| - | - | |
| 2.7 | 3.8 | |
| 5 months ago | 10 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | 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.
pattern_classification
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?
RACplusplus - A high performance implementation of Reciprocal Agglomerative Clustering in C++
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
wordle-solver - For educational purposes, a simple script that assists in solving the word game Wordle.
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
rmi - A learned index structure
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.
hdbscan - A high performance implementation of HDBSCAN clustering.
CFDPython - A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
raku-jupyter-kernel - Raku Kernel for Jupyter notebooks
100-Days-Of-ML-Code - 100 Days of ML Coding