Loan Prediction Classification Dataset

The dataset contains information about loan applicants and whether their loans were approved. Here's a description of each variable:

Loan_ID: Unique identifier for each loan application.

Gender: Gender of the applicant (Male, Female).

Married: Marital status of the applicant (Yes, No).

Dependents: Number of dependents the applicant has.

Education: Education level of the applicant (Graduate, Under Graduate).

Self_Employed: Whether the applicant is self-employed or not (Yes, No).

ApplicantIncome: Income of the applicant.

CoapplicantIncome: Income of the co-applicant.

LoanAmount: Loan amount applied for (in thousands).

Loan_Amount_Term: Term of the loan in months.

Credit_History: Whether the applicant's credit history meets guidelines (1 = Yes, 0 = No).

Property_Area: Area where the applicant's property is located (Urban, Semi Urban, Rural).

Loan_Status: Whether the loan was approved or not (Y = Yes, N = No).