rares9301/anomaly-detection
simple but efficient kernel regression and anomaly detection algorithms
This project helps students learning numerical methods understand how to model real-world problems using matrices and linear equation systems, like Markov chains. You'll input problem descriptions and learn to structure them mathematically, gaining an introduction to supervised learning. This is for students in fields like engineering or computer science studying numerical methods.
173 stars. No commits in the last 6 months.
Use this if you are a student looking to practice numerical methods in GNU Octave, apply matrices to real-world scenarios, and explore supervised learning concepts.
Not ideal if you are a practitioner looking for a ready-to-use anomaly detection tool for live data or complex business problems.
Stars
173
Forks
334
Language
MATLAB
License
MIT
Category
Last pushed
Aug 02, 2024
Commits (30d)
0
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