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GitHub / i2a-k / Machine-Learning-and-Pattern-Recognition

Implementation of some classification and clustering methods

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/i2a-k%2FMachine-Learning-and-Pattern-Recognition

Stars: 1
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 225 KB
Dependencies parsed at: Pending

Created at: almost 5 years ago
Updated at: over 3 years ago
Pushed at: almost 5 years ago
Last synced at: almost 2 years ago

Topics: bayesian-decision-theory, breast-cancer-dataset, classification, clustering, conditional-risk, hirarchical-clustering, iris-dataset, k-fold-cross-validation, k-means, k-nearest-neighbors, knn, machine-learning, minimum-mean-distance, pattern-recognition, pca, principal-component-analysis, roc-plot, support-vector-machines, svm

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