Abstract
The proposed project aims to develop machine learning based computational tools to perform customer churn prediction and classification of customers with the highest risk of dropout for companies listed in the a55 database. These companies may be A55 borrowers, or potential new customers under review for lending. A55's customer base is comprised of medium and small businesses that have a …
