Tableau Viz: Germany Credit Card Analysis
Objective
The goal of this notebook is to understand and predict customer churn for a bank. Specifically, we will initially perform Exploratory Data Analysis (EDA) to identify and visualise the factors contributing to customer churn. This analysis will later help us build Machine Learning models to predict whether a customer will churn or not.
This problem is a typical classification task. The task does not specify which performance metric to use for optimising our machine learning models. I decided to use recall since correctly classifying elements of the positive class (customers who will churn) is more critical for the bank.