H2O is an open source Machine Learning framework with full-tested implementations of a few widely-accepted ML algorithms. You simply need to pick up the algorithm from its huge repository and apply it to your dataset. It contains the most widely used statistical and ML algorithms.
H2O gives an easy-to-use open source platform for applying different ML algorithms on a given dataset. It gives several statistical and ML algorithms including deep learning.
In this study notes, we will think examples and understand how to approach about working with H2O.
This study note is designed to help all those students who are aiming to develop a Machine Learning model on a huge database.
It is expected that the learner has a basic understanding of Machine Learning and knows about Python.