https://github.com/steveee27/bank-loan-granting-prediction-using-backpropagation-neural-network
This project aims to build a model that predicts whether a loan application will be granted based on customer features such as age, income, credit history, and more. Using the Backpropagation Neural Network (BPNN) architecture, the model is trained to classify loan approvals as either "approved" or "denied."
https://github.com/steveee27/bank-loan-granting-prediction-using-backpropagation-neural-network
bankloanprediction binaryclassification deeplearning neuralnetworks personalloan
Last synced: 4 months ago
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This project aims to build a model that predicts whether a loan application will be granted based on customer features such as age, income, credit history, and more. Using the Backpropagation Neural Network (BPNN) architecture, the model is trained to classify loan approvals as either "approved" or "denied."
- Host: GitHub
- URL: https://github.com/steveee27/bank-loan-granting-prediction-using-backpropagation-neural-network
- Owner: steveee27
- License: mit
- Created: 2025-02-16T04:52:22.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-02-16T05:17:20.000Z (8 months ago)
- Last Synced: 2025-03-16T03:41:28.018Z (7 months ago)
- Topics: bankloanprediction, binaryclassification, deeplearning, neuralnetworks, personalloan
- Language: Jupyter Notebook
- Homepage:
- Size: 578 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0