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

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

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

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

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

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

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

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

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

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

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

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

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

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

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