Description

H2O is an open source, distributed in-memory machine learning platform for big data applications. It is designed to be highly extensible and scalable, allowing developers to quickly develop and deploy predictive applications. It can be used with Apache Hadoop, Apache Spark, or any other big-data engine. H2O offers a range of algorithms such as Generalized Linear Modeling (GLM), Random Forest, and Gradient Boosting Machine (GBM), as well as a number of other algorithms. It also offers APIs for R, Python, Scala, Java, and other languages. H2O also provides an intuitive web interface for managing, deploying, and monitoring applications.

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