Loan Default Identification and its Effect

Authors

  • Gopal Choudhary  Department of Computer Science and Engineering, MPSTME, NMIMS, Shirpur, District: Dhule, Maharashtra, India
  • Yash Garud  Department of Computer Science and Engineering, MPSTME, NMIMS, Shirpur, District: Dhule, Maharashtra, India
  • Akshil Shetty  Department of Computer Science and Engineering, MPSTME, NMIMS, Shirpur, District: Dhule, Maharashtra, India
  • Rumit Kadakia  Department of Computer Science and Engineering, MPSTME, NMIMS, Shirpur, District: Dhule, Maharashtra, India
  • Sonali Borase  Assistant Professor, Department of Computer Science and Engineering, MPSTME, NMIMS, Shirpur, District: Dhule, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT1952198

Keywords:

Loan, Machine Learning, Training, Testing, Prediction.

Abstract

Now a days banking sector is on boom everyone is applying for loan but banks have limitation that they have limited assets so they can provide loan to limited loan applications but when they provide loan, they must assure that loan is being granted to only genuine customers. So, this paper focuses on we will try to lessen the uncertainty factor and assure the loan approval to genuine customers only and save the bank assets. That is performed by way of mining the massive data of the earlier data of the human beings to whom the loan become acknowledged earlier than and on the idea of those records/reviews the machine was skilled the use of the system mastering version which provide the maximum correct result. The main focus of the paper will be on the loan to be approved of those customers only who will be able to pay it back.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Gopal Choudhary, Yash Garud, Akshil Shetty, Rumit Kadakia, Sonali Borase, " Loan Default Identification and its Effect, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.865-868, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952198