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Signal Analysis with Machine Learning
Focuses on analyzing and extracting features from signals using the signal processing toolbox of MATLAB. The signal’s statistical and spectral features will be used as input for machine learning models, ground truth labeling will be explored to create a labeled dataset for supervised learning. Binary classification models such as, logistic ...
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