H2O is an open source Machine Learning framework with full-tested implementations of several widely-accepted ML algorithms. You just have 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 provides an easy-to-use open source platform for applying different ML algorithms on a given dataset. It provides several statistical and ML algorithms including deep learning.

In this tutorial, we will consider examples and understand how to go about working with H2O.

Audience

This tutorial is designed to help all those learners who are aiming to develop a Machine Learning model on a huge database.

Prerequisites

It is assumed that the learner has a basic understanding of Machine Learning and is familiar with Python.