Built a university Pattern Recognition project that compares classical and machine-learning classifiers through feature selection, PCA/LDA transformations, hyperparameter tuning, and cross-validated evaluation on a real binary classification dataset.
pcaldahyperparameter-tuningsvm-classifierknn-classificationbayesian-classifierroc-auckruskal-wallislda-classificationclassifier-evaluation
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Updated
Mar 5, 2026 - Python