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