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| title: Credit Card Fraud Detection | |
| emoji: 💳 | |
| colorFrom: pink | |
| colorTo: purple | |
| sdk: gradio | |
| app_file: app.py | |
| pinned: false | |
| short_description: Detect fraudulent credit card transactions using ML | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| # 💳 Credit Card Fraud Detection (Machine Learning) | |
| This project demonstrates **fraud detection** using multiple machine learning techniques on the popular **Kaggle Credit Card Fraud Dataset**. | |
| We compare the performance of: | |
| - **Logistic Regression** (supervised) | |
| - **Random Forest** (supervised) | |
| - **Isolation Forest** (unsupervised anomaly detection) | |
| The app is deployed using **Streamlit** on Hugging Face Spaces. | |
| --- | |
| ## 🚀 How to Run | |
| ### 1. Clone the Repository | |
| ```bash | |
| git clone https://huggingface.co/spaces/your-username/credit-card-fraud-detection | |
| cd credit-card-fraud-detection |