R for data science: a book
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Code accompanying the book "Machine Learning for Hackers"
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.).
Dev version of Rfacebook package: Access to Facebook API via R
A curated list of #rstats books
Renders a Multilingual Quarto Project (Book or Website)
A book that demonstrates how to perform typical table data operations using PRQL and DuckDB.