Bank Loan Approval Using Data Science

  • Unique Paper ID: 172855
  • PageNo: 1116-1120
  • Abstract:
  • Loan approval is a critical process for financial institutions, traditionally relying on manual assessments based on credit history, income, and collateral. However, with the increasing volume of loan applications and the complexity of financial data, machine learning (ML) has emerged as a powerful tool for automating and enhancing the loan approval process.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{172855,
        author = {Swaranjali Wamane and Urjaben Patel and Tanisha Choudhari and Sparsh Mishra},
        title = {Bank Loan Approval Using Data Science},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {1116-1120},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172855},
        abstract = {Loan approval is a critical process for financial institutions, traditionally relying on manual assessments based on credit history, income, and collateral. However, with the increasing volume of loan applications and the complexity of financial data, machine learning (ML) has emerged as a powerful tool for automating and enhancing the loan approval process.},
        keywords = {},
        month = {February},
        }

Cite This Article

Wamane, S., & Patel, U., & Choudhari, T., & Mishra, S. (2025). Bank Loan Approval Using Data Science. International Journal of Innovative Research in Technology (IJIRT), 11(9), 1116–1120.

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