Customer Loan Eligibility Prediction using Machine Learning Algorithms in Banking Sector

Author:

Naveen Kumar Ch.1,Keerthana D.1,Kavitha M1,Kalyani M2

Affiliation:

1. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Vaddeswaram,Andhra Pradesh,India

2. PACE institute of technology and sciences,Department of Mathematics,Ongole,Andra Pradesh,India

Publisher

IEEE

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data science methods for response, incremental response and rate sensitivity to response modelling in banking;Expert Systems;2024-06

2. Data-Driven Decisions: A Machine Learning Perspective on Loan Authorization;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

3. Monetary Loan Eligibility Prediction using Logistic Regression Algorithm;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

4. Using Machine Learning Models For Predicting Loan Status And Computation Of Interest Rate;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24

5. Banking in the Digital Age: Predicting Eligible Customers through Machine Learning and AWS;2024 IEEE 1st Karachi Section Humanitarian Technology Conference (KHI-HTC);2024-01-08

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