Introducing H2O.ai

H2O is a fast, scalable ML and deep learning framework developed by H2O.ai, released under the open source Apache license. According to the company-provided details, more than 9,000 organizations and 80,000+ data scientists use H2O for their ML/deep learning needs. It uses in-memory compression, which allows it to handle a large amount of data in memory, even with a small cluster of machines. It has an interface for R, Python, Java, Scala, and JavaScript, and even has a built-in web interface. H2O can run in standalone mode, and on Hadoop or Spark cluster. 

H2O includes a large number of ML algorithms like generalized linear modeling, Naive Bayes, random forest, gradient boosting, and deep learning algorithms. The best part of H2O is that one can build thousands of models, compare the results, and even do hyperparameter tuning with a few lines of codes. H2O also has better data preprocessing tools.

H2O requires Java, so, ensure that Java is installed on your system. You...