ITM Web of Conferences (Jan 2022)

Loan Prediction System Using Machine Learning

  • Shinde Anant,
  • Patil Yash,
  • Kotian Ishan,
  • Shinde Abhinav,
  • Gulwani Reshma

DOI
https://doi.org/10.1051/itmconf/20224403019
Journal volume & issue
Vol. 44
p. 03019

Abstract

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As the needs of people are increasing, the demand for loans in banks is also frequently getting higher every day. Banks typically process an applicant’s loan after screening and verifying the applicant’s eligibility, which is a difficult and time-consuming process. In some cases, some applicants default and banks lose capital. The machine learning approach is ideal for reducing human effort and effective decision making in the loan approval process by implementing machine learning tools that use classification algorithms to predict eligible loan applicants.