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Machine Learning in MatLab/Octave
This repository explains popular machine learning algorithms with MATLAB and Octave code examples and mathematics.

About Machine Learning in MatLab/Octave
This repository provides MATLAB and Octave *.m scripts that demonstrate machine learning algorithms with explanations of the mathematics behind them. Examples include linear regression for house price prediction, logistic regression, k-means clustering, Gaussian anomaly detection, and a multilayer perceptron for handwritten digits recognition.
The implementations avoid third-party libraries and one-liners to focus on the underlying mathematics. Running the demos requires Octave or MATLAB installed locally, or the web version of MATLAB.
Key features
- Linear regression example for house prices prediction
- Logistic regression for microchip fitness and digits recognition
- K-means clustering example splitting data into three clusters
- Anomaly detection using Gaussian distribution for overloaded server
- Multilayer perceptron neural network for handwritten digits recognition
- Demo scripts run from Octave console per topic folder
- Code examples include explanations of the mathematics behind each algorithm
- Covers regression, classification, clustering, anomaly detection and neural networks
- Open source repository with runnable demo scripts
- Requires Octave or MATLAB to be installed to launch demos
Machine Learning in MatLab/Octave at a glance
- Category
- Education & Learning › Mathematics Learning
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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