Machine Learning With H2O -- Hands-On Guide for Data Scientists - DZone AI

H2O is the world's number one machine learning platform. It is an open-source software, and the H2O-3 GitHub repository is available for anyone to start hacking. This hands-on guide aims to explain the basic principles behind H2O and get you as a data scientist started as quickly as possible in the most simple way. The rest is just machine learning. After reading this guide, you'll be able to: As a data scientist, you're most likely to use R and/or Python. Interestingly, H2O makes it easy to seamlessly switch Python, R, and other data science tools while still working on the same project. This allows data scientists to interact more easily, as well as use the best tool for the job, but the possibilities do not stop there. H2O also offers its own web-based interface named Flow. By means of Flow, data scientists are able to import, explore, and modify datasets, play with models, verify models performances, and much more. Flow is beautiful and a quick way to do machine learning. Flows can be saved and given to other data scientists, making cooperation easy.