trekhleb/machine-learning-octave
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
This project helps data analysts, scientists, and engineers understand how core machine learning algorithms work. It provides practical MatLab/Octave code examples for tasks like predicting house prices, detecting spam, segmenting customers, or identifying system anomalies. You can input your data and see how various models process it and generate predictions or classifications, all while demystifying the underlying mathematical principles.
895 stars.
Use this if you want to gain a deeper, hands-on understanding of how machine learning algorithms operate, beyond just using them as 'black boxes'.
Not ideal if you're looking for a production-ready library to quickly implement complex machine learning solutions.
Stars
895
Forks
250
Language
MATLAB
License
MIT
Category
Last pushed
Nov 23, 2025
Commits (30d)
0
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