GitHub repository: tanya9691/Bank-Loan-Defaulter-Prediction
Created: 2020-02-04T02:21:18Z
Description: Loans default will cause huge loss for the banks, so they pay much attention on this issue and apply various method to detect and predict default behaviours of their customers.  The loan default dataset has 8 variables and 850 records, each record being loan default status for each customer. Each Applicant was rated as “Defaulted” or “Not-Defaulted”. New applicants for loan application can also be evaluated on these 8 predictor variables and classified as a default or non-default based on predictor variables.