GitHub / sudarshan-koirala / Dimensionality-Reduction
Using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) on same dataset and analyzing the best one
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PURL: pkg:github/sudarshan-koirala/Dimensionality-Reduction
Stars: 1
Forks: 0
Open issues: 4
License: None
Language: Python
Size: 13.7 KB
Dependencies parsed at: Pending
Created at: over 5 years ago
Updated at: over 1 year ago
Pushed at: over 5 years ago
Last synced at: over 1 year ago
Topics: confusion-matrix, data-science, dimensionality-reduction, feature-extraction, linear-discriminant-analysis, logistic-regression, machine-learning, principle-component-analysis, wine-quality