A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib et...

a curated list of R tutorials for Data Science, NLP and Machine Learning

Apuntes personales sobre estadística, machine learning y lenguaje de programación R

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations....

Modeltime unlocks time series forecast models and machine learning in one framework

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, recommenders, and EDA....

This repository contains all code examples in Machine Learning for Email, by Drew Conway and John Myles White....

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms...

For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)...

Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem...

A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models....

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniq...

Explaining the output of machine learning models with more accurately estimated Shapley values