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Awesome Machine Learning H2O – Massive Collection of Resources

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Below is a curated list of all the awesome projects, applications, research, tutorials, courses and books that use H2O, an open source, distributed machine learning platform. H2O offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models, Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox Proportional Hazards, K-means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (AutoML). produces many tutorials, blog posts, presentations and videos about H2O, but the list below is comprised of awesome content produced by the greater H2O user community.

If you think H2O is awesome too, please ⭐ the H2O GitHub repository.


Blog Posts & Tutorials


Research Papers





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