Lesson 4:  Predicting Customer Churn with H2O

H2O Flow is a notebook-style open-source user interface for H2O. It is a web-based interactive environment that allows you to combine code execution, text, mathematics, plots, and rich media in a single document, similar to iPython Notebooks. The interactive web interface called H2O Flow that seamlessly blends a command line, text based shell with a modern notebook style GUI.

With Flow, data scientists can import data, inspect it, ring with another frame, split, train and test, build models with grid search, evaluate results and export POJO, all with our written a single line of code. 

Watch H2O.ai’s data scientist Nick Martin walk you through predicting churn in H2O Flow, to help you figure out how to keep customers around longer. In this tutorial, H2O data scientist Nick Martin will walk you through predicting churn in H2O Flow, to help you figure out how to keep customers around longer.



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