The project aims to check the loan eligibility of the person i.e. if he/she will be able to repay the loan or not. This is a Classification Problem that predicts if a loan will get approved or not. In this, I have used different Machine Learning Classification Models for the prediction of the loan_status.
Programming Language: Python
Libraries: Pandas, Scikit-learn, Matplotlib, Numpy
Loan id, Gender, Married, Dependents, Education, Self Employed, Applicant income, Coapplicant income, Loan Amount,Credit History, Property_Area, Loan_Status
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)