Get a Loan - Classification Project
Problem Statement : Dream Housing Finance company deals in all home loans. They have a presence across all urban, semi-urban, and rural areas. Customer-first applies for a home loan after that company validates the customer eligibility for a loan.
Our goal is to automate the loan qualification process based on the data given by the customers' filled applicatoin form.
Data: Dataset built from the following features :
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 a loan in months
Credit_History: credit history meets guidelines
Property_Area: Urban/ Semi-Urban/ Rural
Loan_Status: Loan approved (Y/N)
Steps :
1 - Importing liabries and expolorate the data
2 - Preproccessing the data
3 - Fit Models
4 - Models' results comparison