A NEW WAY OF PREDICTING THE LOAN APPROVAL PROCESS USING ML TECHNIQUES

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Chaitanya Krishna Suryadevara

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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How to Cite
Chaitanya Krishna Suryadevara. (2019). A NEW WAY OF PREDICTING THE LOAN APPROVAL PROCESS USING ML TECHNIQUES. International Journal of Innovations in Engineering Research and Technology, 6(12), 38-48. https://repo.ijiert.org/index.php/ijiert/article/view/3654
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How to Cite

Chaitanya Krishna Suryadevara. (2019). A NEW WAY OF PREDICTING THE LOAN APPROVAL PROCESS USING ML TECHNIQUES. International Journal of Innovations in Engineering Research and Technology, 6(12), 38-48. https://repo.ijiert.org/index.php/ijiert/article/view/3654

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