Title: Bank-Customer-Churn-Prediction

Programming language: Python

Objective:

To identify and visualize which factors contribute to customer churn.

By building a prediction model that will perform the following:

• Classify if a customer is going to churn or not
• Preferably and based on model performance, choose a model that will attach a probability to the churn to make it easier for customer service to target low hanging fruits in their efforts to prevent churn.

Algorithm: data wranlging, exploratory data analysis, feature engineering, tensorflow, keras, H2OAutoML, h2o