Home / Machine Learning > H2O Machine Learning > H2O Open source distributed machine learning platform written in Java with APIs in R, Python, and Scala. Collection 389 stars GitHub Contents Research Papers Benchmarks Courses Software Research Papers Stock Market Analysis using Stacked Ensemble Learning Method 1 updated 5y ago Malkar Takle. (2020) Understanding random forests: from theory to practice 529 updated 9y ago Gilles Louppe. (2014) Benchmarks Szilard's machine learning benchmark 1.9k updated 3y ago Benchmarks of Random Forest, GBM, Deep Learning and GLM implementations in common open source ML frameworks. Jul 3, 2015 Courses University of San Francisco (USF) Distributed Data System Class (MSDS 697) Master of Science in Data Science Program. UCLA: Tools in Data Science (STATS 418) 137 updated 9y ago Masters of Applied Statistics Program. GWU: Data Mining (Decision Sciences 6279) 241 updated 11mo ago Masters of Science in Business Analytics. Software Evaporate 5 updated 5y ago Run H2O models in the browser via Javascript. More info here. splash R package 5 updated 5y ago Splashing a User Interface onto H2O MOJO Files. More info here. h2oparsnip R package 19 (archived) Set of wrappers to bind h2o algorthms with the parsnip package. Spin up PySpark and PySparkling on AWS 8 updated 8y ago Forecast the US demand for electricity 100 updated 4y ago A real-time dashboard of the US electricity demand (forecast using H2O GLM) h2o3-pam 1 updated 1y ago Partition Around Mediods (PAM) clustering algorithm in H2O-3 h2o3-gapstat 1 updated 10mo ago Gap Statistic algorithm in H2O-3