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Top 7 gradient-boosting-machine open source projects

Benchm Ml
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.).
MLDay18
Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
telco-customer-churn-in-r-and-h2o
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
1-7 of 7 gradient-boosting-machine projects