Predicting bank performance using machine learning: a case of troubled banks in India

Sumedha Tuteja, Punam Bhoyar, Krishna Kumar Singh, Aruna Dev Rroy
{"title":"Predicting bank performance using machine learning: a case of troubled banks in India","authors":"Sumedha Tuteja, Punam Bhoyar, Krishna Kumar Singh, Aruna Dev Rroy","doi":"10.1504/ijpee.2023.133638","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":52200,"journal":{"name":"International Journal of Pluralism and Economics Education","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Pluralism and Economics Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijpee.2023.133638","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用机器学习预测银行业绩:以印度陷入困境的银行为例
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal of Pluralism and Economics Education
International Journal of Pluralism and Economics Education Social Sciences-Sociology and Political Science
CiteScore
0.60
自引率
0.00%
发文量
12
期刊最新文献
Learning by Comparison: The Benefits and Challenges of Applying Pluralism to a Lesson Series in the IB Diploma Programme Economics Course. Backhouse and Medema on the definition of economics: Some critical observations Predicting Bank Performance using Machine Learning: A Case of Troubled Banks in India Pluralism and Teaching a 'Women in the Economy' Course over Time Reframing economic agency in times of uncertainty
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1