GitHub - omkar87796-sudo/Bank-Credit-Approval-Decision-System: This project is an end-to-end Credit Risk Assessment System built using Machine Learning to support bank loan approval decisions. The system analyzes customer credit bureau data and predicts the risk category of applicants to help reduce wrong approvals and high-risk lending.

Credit Risk Assessment System | Machine Learning Project

Built end-to-end ML pipeline using Random Forest for loan approval risk prediction

Implemented data preprocessing, feature handling, and missing value management

Developed enterprise-style Streamlit UI for bulk customer risk evaluation

Achieved high ROC-AUC and significantly reduced wrong approvals

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
README.md		README.md
app.py		app.py
case_study1 (1).xlsx		case_study1 (1).xlsx
case_study2 (1).xlsx		case_study2 (1).xlsx
credit_risk_pipeline.pkl		credit_risk_pipeline.pkl
data preprocessing.ipynb		data preprocessing.ipynb
model_training.ipynb		model_training.ipynb
preprocessed_credit_data.xlsx		preprocessed_credit_data.xlsx
requirements.txt		requirements.txt

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