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
Implementation of different types of machine learning algorithm and there performance comparison on a same dataset
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.
Different robust and non-parametric techniques (Class project, September 2021)
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