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6
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written in R
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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 al…
Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
A set of tools to understand what is happening inside a Random Forest
An convenient R tool for manipulating tables in PostgreSQL type databases and a wrapper of Apache MADlib.
autoxgboost - Automatic tuning and fitting of xgboost