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.
In this project, I have worked with hundreds of anonymized features to predict if a customer is satisfied or dissatisfied with their banking experience. The dataset which was provided contained many numeric variables. The "TARGET" column is the variable to predict. It equals 1 for unsatisfied customers and 0 for satisfied customers. The task is to predict the probability of each customer in the test set being unsatisfied.
The data: https://www.kaggle.com/c/santander-customer-satisfaction/data