GitHub / miltiadiss / CEID_NE562-Data-Mining-and-Machine-Learning-Algorithms

This project involves analyzing a dataset through statistics and visualizations to uncover patterns & correlations. It trains classifiers (Neural Networks, Random Forests, Bayesian Networks) to predict physical activities and evaluates their performance. Finally, it clusters participants' activities using 3 algorithms, comparing their effectivenes.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/miltiadiss%2FCEID_NE562-Data-Mining-and-Machine-Learning-Algorithms

Topics: ann, bayesian-network, gaussian-mixture-models, k-means, kohonen-map, random-forest

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• Dependencies