Home Loan Prediction Using Machine Learning Models

Abstract

Buying a home of their choice is a dream of every person. To fulfill their dreams banks provide different loan schemes for requesting customers. Although, with assistance from the banks many people get their loan but there are also many people who face difficulties in getting a loan. The cancellation of loan’s request is due to various reasons such as poor civil score, less income, etc. A huge amount of customer’s time is wasted if his/her loan is rejected so with the help of this loan prediction project a customer can get initial inference whether he/she will get a loan or not, also this project will help bank employees in checking the eligibility of a customer. We have used six classification algorithms in this project and for balancing the unbalanced class I have also used SMOTE. After training and predicting the results we have also compared all the Models.