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Performed feature dimensionality reduction algorithms including feature selection, PCA, ICA, and Randomized Projections. Implemented K means, and Expectation Maximization for classification clustering problems. Compared both the algorithms' results with ANN.

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ML Assignment 4 Report.pdf
ML Assignment 4 Report.pdf
 
 
ML_assignment_4_Banking.ipynb
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Performed feature dimensionality reduction algorithms including feature selection, PCA, ICA, and Randomized Projections. Implemented K means, and Expectation Maximization for classification clustering problems. Compared both the algorithms' results with ANN.

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feature-selection pca-analysis pca expectation-maximization dimensionality-reduction expectation-maximization-algorithm principal-component-analysis kmeans-clustering independent-component-analysis kmeans-clustering-algorithm

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