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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 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 machine learning project, you'll work with hundreds of anonymized features to predict if a customer is satisfied or dissatisfied with their banking experience.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
Given a partial trajectory of a taxi, you will be asked to predict its final destination using the taxi trajectory dataset.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.