Year: 2022
Type: conference-paper
Abstract: 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.
Source: ITM Web of Conferences
Authors: Anant Shinde, Yash Patil, Ishan Kotian, Abhinav Shinde, Reshma Gulwani
Institution: DY Patil Deemed to be University
Language: English
Subfield: Accounting
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4285154599