GitHub / RimTouny / Feature-Selection
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.
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PURL: pkg:github/RimTouny/Feature-Selection
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 1.6 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: auto-encoder, back-feature-elimination, bernoulli-naive-bayes, chi-square, dimensionality-reduction, feature-selection, forward-feature-elimination, information-gain, knn-classification, machine-learning, mutual-information, pca, recursive-feature-elimination, tsne-visualization, variance-threshold, wrapper-selection