A NEW WAY OF PREDICTING THE LOAN APPROVAL PROCESS USING ML TECHNIQUES
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Abstract
Loans account for a large portion of bank profits. Despite the fact that many people are looking for loans. Finding a legitimate applicant who will return the loan is difficult. There may be many errors made when selecting the real applicant when the process is done manually. As a result, we are creating a machine learning-based loan prediction system that will choose the qualified applicants on its own. Both the applicant and the bank staff will benefit from this. There will be a significant reduction in the loan sanctioning period of time. In this research, we use different machine learning techniques to predict the loan data.
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