Machine Learning in R
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Updated
May 6, 2024 - R
Statistics is a mathematical discipline concerned with developing and studying mathematical methods for collecting, analyzing, interpreting, and presenting large quantities of numerical data. Statistics is a highly interdisciplinary field of study with applications in fields such as physics, chemistry, life sciences, political science, and economics.
Machine Learning in R
Exercises (incl. analyses) with R language (math+statistics)
R Weekly
A repository of R usage tips for data cleaning, data mining, data visualisation, statistical inference and machine learning
A series of articles to get started into the field of Machine Learning with R language
Presentation-Ready Data Summary and Analytic Result Tables
R package of data and code behind the stories and interactives at FiveThirtyEight
sjPlot - Data Visualization for Statistics in Social Science
💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
JVM-based interpreter for the R language for the statistical analysis.
Companion package for the Coursera Statistics with R specialization
Template structure for team repository. Download ZIP then add to your team repo in this organization
🌌 The R easystats-project
A gallery of animations in statistics and utilities to create animations
Source code for Kabacoff, R. R in Action (3rd edition). Manning: Boca Raton, FL.
R Code Examples for Data Analytics
Graph theory analysis of brain MRI data
Umbrella package of the 'spatstat' family................
A statistical framework that serves as a common interface to a large range of models
My work on Analytics and Research in Data Science