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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.).

An R package to flexible rearrange, reshape and aggregate data

an R package that automates performance testing of ML models and summarizes the results in a dashboard w/ rad visualizations

:white_flower::scroll: R package: RStudio Addin to insert ('stamp') useful Quarto elements

  • quarto
  • rstudio-addin
  • rstats
  • rstats-package

R package that provides complex systems datasets from the Colorado Index of Complex Networks (ICON) at https://icon.colorado.edu/.

  • complex-networks
  • r
  • complex-systems-datasets
  • datasets