Public sample Data files
Banking on Retention: A Guide to Predicting Customer Churn
This table contains data on bank customers, including their credit score, geography, gender, age, tenure, balance, number of products, and whether they have a credit card or are an active member. It can be used to analyze customer churn and identify factors that contribute to customers leaving the bank.
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