GitHub / alexsuakim / MachineLearning
Machine learning model implementations from scratch in Python
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alexsuakim%2FMachineLearning
PURL: pkg:github/alexsuakim/MachineLearning
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 10.4 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: big-data-analytics, decision-tree, deep-learning, gaussian-mixture-models, gibbs-sampling, gradient-descent, hyperparameter-tuning, k-means-clustering, linear-regression, logistic-regression, machine-learning, naive-bayes-classifier, random-forest, ridge-regression