The goal of this project is to develop some ML models to predict whether or not a loan application will be approved.
Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form.
Variable - Description
Loan_ID - Unique Loan ID
Gender - Male/ Female
Married - Applicant married (Y/N)
Dependents - Number of dependents (0,1,2,3+)
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)
This dataset can be obtained in the following challenge: https://datahack.analyticsvidhya.com/contest/practice-problem-loan-prediction-iii/
License MIT