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

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

• Files
• Readme
• Dependencies