A curated list of awesome R packages, frameworks and software.
-
Updated
Jun 2, 2024 - R
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
A curated list of awesome R packages, frameworks and software.
a curated list of R tutorials for Data Science, NLP and Machine Learning
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Machine Learning in R
simple tools for data cleaning in R
An R-focused pipeline toolkit for reproducibility and high-performance computing
mlr3: Machine Learning in R - next generation
Function-oriented Make-like declarative workflows for R
English and European soccer results 1871-2022
A repository of R usage tips for data cleaning, data mining, data visualisation, statistical inference and machine learning
Fast Disk-Based Parallelized Data Manipulation Framework for Larger-than-RAM Data
Modeltime unlocks time series forecast models and machine learning in one framework
Automate Data Exploration and Treatment
R package of data and code behind the stories and interactives at FiveThirtyEight
Apuntes personales sobre estadística, machine learning y lenguaje de programación R
Gender recognition by voice and speech analysis