A Classification Problem which predicts if a loan will get approved or not.
Dataset- The data has 615 rows and 13 columns.
Dataset Description-
Variable
Description
Loan_ID - Unique Loan ID
Gender - Male/ Female
Married- Applicant married (Y/N)
Dependents - Number of dependents
Education - Applicant Education (Graduate/ Under Graduate)
Self_Employed - Self employed (Y/N)
ApplicantIncome - Applicant income
CoapplicantIncome - Coapplicant income
LoanAmount - Loan amount in thousands
Loan_Amount_Term - Term of loan in months
Credit_History - credit history meets guidelines
Property_Area - Urban/ Semi Urban/ Rural
Loan_Status - Loan approved (Y/N)