Implementation of the Bayesian, MAP and LDA classifiers.
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Updated
Aug 4, 2021 - Jupyter Notebook
Implementation of the Bayesian, MAP and LDA classifiers.
Using the BCI Competition Dataset IV for Motor Classification
Matlab-designed algorithm implemented with Machine Learning methods. The purpose was to use collected signal information to discriminate between right-lobe, left-lobe, and passive activity.
Implementation of different types of machine learning algorithm and there performance comparison on a same dataset
Different robust and non-parametric techniques (Class project, September 2021)
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