Automated Loan Lending System with Artificial Neural Networks
The proposed project involves designing an Artificial Neural Network (ANN) model to predict loan repayment behavior. Using data sourced from platforms such as the 'LendingClub' dataset available on Kaggle, the system aims to classify potential borrowers as likely to repay or default on loans. The ANN model is expected to enhance decision-making in financial institutions by providing a robust, data-driven mechanism for risk assessment. This paper outlines the project's objectives, background, methodology, and conclusions, demonstrating the potential of machine learning in the domain of financial risk analysis.
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Work Title Automated Loan Lending System with Artificial Neural Networks Access Creators - Rohit Chorghe
Keyword - Neural Networks
- Loan Lending System
- Exploratory Data Analysis
- Logistic Regression
- Financial Dataset
License CC BY 4.0 (Attribution) Work Type Masters Culminating Experience Sub Work Type Scholarly Paper/Essay (MA/MS) Program Information Systems Degree Master of Science Acknowledgments - Girish Subramanian
Publisher - ScholarSphere
Publication Date April 2025 DOI doi:10.26207/nsfg-2r56 Deposited April 23, 2025 Versions
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Updated Keyword, Degree, Program, and 3 more Show ChangesKeywordDegree
- Neural Networks, Loan Lending System, Exploratory Data Analysis, Logistic Regression, Financial Dataset
Program- Master of Science
Description- Information Systems
Sub Work Type- The proposed project involves designing an Artificial Neural Network (ANN) model to predict loan repayment behavior. Using data sourced from platforms such as the 'LendingClub' dataset available on Kaggle, the system aims to classify potential borrowers as likely to repay or default on loans. The ANN model is expected to enhance decision-making in financial institutions by providing a robust, data-driven mechanism for risk assessment. This paper outlines the project's objectives, background, methodology, and conclusions, demonstrating the potential of machine learning in the domain of financial risk analysis.
Publication Date- Scholarly Paper/Essay (MA/MS)
- 2025-04
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- Girish Subramanian
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- https://creativecommons.org/licenses/by/4.0/
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- ScholarSphere
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