Delved into advanced techniques to enhance ML performance during the uOttawa 2023 ML course. This repository offers Python implementations of Naïve Bayes (NB) and K-Nearest Neighbor (KNN) classifiers on the MCS dataset.
machine-learning feature-selection pca dimensionality-reduction mutual-information chi-square information-gain knn-classification auto-encoder recursive-feature-elimination tsne-visualization bernoulli-naive-bayes variance-threshold wrapper-selection forward-feature-elimination back-feature-elimination
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Updated
Jan 9, 2024 - Jupyter Notebook