Open AccessLoan Default Identification and its Effect
Author(s) -
Gopal Choudhary,
Yash Garud,
Akshil Shetty,
Rumit Kadakia,
Sonali Borase
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit1952198
Subject(s) - loan , non conforming loan , amortizing loan , bridge loan , cross collateralization , participation loan , term loan , business , non performing loan , boom , identification (biology) , finance , actuarial science , engineering , botany , biology , environmental engineering
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.