This repository holds my completed Octave/Matlab code for the exercises in the Stanford Machine Learning course, offered on the Coursera platform.
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Updated
Dec 20, 2020 - MATLAB
This repository holds my completed Octave/Matlab code for the exercises in the Stanford Machine Learning course, offered on the Coursera platform.
An online course on ML taught by Andrew Ng. Introduces algorithms from scratch including regression models, classification, Neural Networks, SVMs, K-Means clustering, and applications such as Photo OCR.
ML Mini-Projects, in the context of Andrew's Ng coursera course. Implemented in Octave.
Multivariate distributions for hyperspectral anomaly detection based on autoencoder
Nonnegative-Constrained Joint Collaborative Representation With Union Dictionary for Hyperspectral Anomaly Detection
Anomaly Detection and Classification in Multispectral Time Series based on Hidden Markov Models
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