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.).
Repository Index
47,133 repositories indexed
1–5 of 5 · Most stars
Multi-Paradigm Pipeline Implementation
an R package that automates performance testing of ML models and summarizes the results in a dashboard w/ rad visualizations
Bitcoin - MACD Crossover Trading Strategy Backtest
R package that provides complex systems datasets from the Colorado Index of Complex Networks (ICON) at https://icon.colorado.edu/.