Loan Prediction Problem

Loan Eligibility Prediction for Customers

About the Dataset

This dataset is taken from one of the practice problem on Analytics Vidhya. This dataset contains 614 rows and 13 columns. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others.

Dataset 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:- (Target) Loan approved (Y/N)

Goal of the Project

The goal of this project is to automate the loan eligibility process (real time) based on customer detail provided while filling online application form.

Evaluation Metric

Accuracy

Conclusion

Ongoing