A Streamlit-based machine learning app that detects fraudulent credit card transactions using Logistic Regression.
This project provides data visualization, model training, and real-time transaction prediction.
- Upload your own dataset (CSV)
- Visualize class distribution (pie chart + stats)
- Perform exploratory data analysis (EDA)
- Train a Logistic Regression model with progress feedback
- View model metrics: Confusion Matrix, ROC AUC, ROC Curve
- Predict individual transactions through a form
- Python 3.7+
- pip
- Clone the repo:
git clone https://github.com/VIJAY-7S/credit-card-fraud-detection.git
cd credit-card-fraud-detection