Introduction On Kaggle, I found a dataset of customer churn data for a fictitious bank deposited by Radesheshyam Kollipara. It is a simple dataset of just one table. The exercise analyzes which customers are most likely to exit the bank.
The table’s most critical column is the “Exited” column, which in the original data is one if the customer left the bank and 0 if the customer stayed. It also contains other information about each customer and their accounts.
