GitHub / Statistics-and-Machine-Learning-with-R / Statistical-Methods-and-Machine-Learning-in-R
This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Statistics-and-Machine-Learning-with-R%2FStatistical-Methods-and-Machine-Learning-in-R
PURL: pkg:github/Statistics-and-Machine-Learning-with-R/Statistical-Methods-and-Machine-Learning-in-R
Stars: 14
Forks: 14
Open issues: 0
License: None
Language: R
Size: 24.3 MB
Dependencies parsed at: Pending
Created at: over 5 years ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: about 1 month ago
Topics: anosim-test, anova-test, artificial-neural-networks, data-evaluation, decision-tree, machine-learning, mann-whitney, pca, pcoa, rstudio, statistics, supervised-learning, t-test, u-test, unsupervised-machine-learning