Bank Loan Prediction System using Machine Learning

Anshika Gupta, V. Pant, Sudhanshu Kumar, P. Bansal
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引用次数: 14

Abstract

With the advancement in technology, there are so many enhancements in the banking sector also. The number of applications is increasing every day for loan approval. There are some bank policies that they have to consider while selecting an applicant for loan approval. Based on some parameters, the bank has to decide which one is best for approval. It is tough and risky to check out manually every person and then recommended for loan approval. In this work, we use a machine learning technique that will predict the person who is reliable for a loan, based on the previous record of the person whom the loan amount is accredited before. This work's primary objective is to predict whether the loan approval to a specific individual is safe or not.
基于机器学习的银行贷款预测系统
随着技术的进步,银行业也有了很多改进。申请贷款审批的人数每天都在增加。在选择申请贷款的申请人时,他们必须考虑一些银行政策。根据一些参数,银行必须决定哪一个是最好的批准。手动检查每个人然后推荐贷款批准是困难和有风险的。在这项工作中,我们使用了一种机器学习技术,该技术将根据之前贷款金额被认可的人的先前记录来预测贷款可靠的人。这项工作的主要目标是预测对特定个人的贷款批准是否安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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