Member-only story
Predicting Customer Satisfaction using H20.ai Auto ML running on Azure Data Science Virtual Machine
In this tutorial, you will learn how to quickly predict customer satisfaction using H20.ai AutoML running on Azure Data Science Virtual Machine.
Which customers are happy customers?
Around 5 years ago, Santander Bank created a prediction competition at Kaggle to predict which customers are happy customers. The money prize was $60.000.
Overview about the use case / competition from Kaggle.
From frontline support teams to C-suites, customer satisfaction is a key measure of success. Unhappy customers don’t stick around. What’s more, unhappy customers rarely voice their dissatisfaction before leaving.
Santander Bank is asking Kagglers to help them identify dissatisfied customers early in their relationship. Doing so would allow Santander to take proactive steps to improve a customer’s happiness before it’s too late.
In this competition, you’ll work with hundreds of anonymized features to predict if a customer is satisfied or dissatisfied with their banking experience.
Competition link: Santander Customer Satisfaction | Kaggle
