Loan-Prediction-using-Machine-Learning

Loan Prediction using Machine Learning

Overview

The idea is to build a model that will predict the loan approval of an applicant who has applied for a loan.

Aim:

Based on different parameters crating a model that can classify whether an applicant Loan will Approve or Not.It is a supervised classification problem.

Dataset Features

Dataset is taken from https://www.kaggle.com/code/rupamshil/loan-prediction-using-machine-learning/input

The following are dataset feature :

1. Loan_ID : Unique Loan ID
2. Gender : Male/ Female
3. Married Applicant : married (Y/N)
4. Dependents : Number of dependents
5. Education Applicant Education : (Graduate/Under Graduate)
6. Self_Employed : Self employed (Y/N)
7. ApplicantIncome : Applicant income
8. CoapplicantIncome : Coapplicant income
9. LoanAmount : Loan amount in thousands
10. Loan_Amount_Term : Term of loan in months
11. Credit_History : Credit history meets guidelines
12. Property_Area : Urban/ Semi Urban/ Rural
13. Loan_Status : Loan approved (Y/N)

Implemented Machine Learning Algorithm:

1. DecisionTree Classifier
2. RandomForest Classifier
3. Logistic Regression