GitHub / Yeaseen / ML_Pattern
:trident: Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Yeaseen%2FML_Pattern
PURL: pkg:github/Yeaseen/ML_Pattern
Stars: 23
Forks: 3
Open issues: 0
License: None
Language: Python
Size: 6.44 MB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: about 1 year ago
Pushed at: about 6 years ago
Last synced at: 3 months ago
Topics: adaboost-learning, als-algorithm, artificial-neural-networks, basic-learning, binary-perceptron, decision-tree-classifier, multiclass-classification, multiclass-kersel, numpy, perceptron-learning-algorithm, pocket, python, recommendation-algorithm, reward-and-punishment, scikit-learn, scratch, template-matching