UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 8
August-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFP06097


Registration ID:
500122

Page Number

544-549

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Title

Loan Eligibility Prediction using Machine Learning Algorithms

Abstract

Is Bank for banking institutions, loan acceptance is a critical step. The loan applications were approved or rejected by the system. In a bank's financial accounts, loan recovery is a major contributing aspect. It is quite difficult to predict if the customer will repay the loan. Many researchers have been working on loan approval prediction algorithms in recent years. Machine Learning (ML) techniques are extremely beneficial in the System for predicting outcomes for enormous amounts of data. Two machine learning techniques, Support Vector Machine (SVM) and Random Forest (RF) are used in this work to predict client loan approval.

Key Words

Loan, Machine Learning, Training, Testing, Prediction

Cite This Article

" Loan Eligibility Prediction using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.544-549, August-2022, Available :http://www.jetir.org/papers/JETIRFP06097.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

" Loan Eligibility Prediction using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp544-549, August-2022, Available at : http://www.jetir.org/papers/JETIRFP06097.pdf

Publication Details

Published Paper ID: JETIRFP06097
Registration ID: 500122
Published In: Volume 9 | Issue 8 | Year August-2022
DOI (Digital Object Identifier):
Page No: 544-549
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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