Online payments fraud detection
The data set is a sample of a data gotten from kaggle. It contains over three hundred thousand online transaction samples and 11 features of each transaction. A logistic regressor was used for the classification and streamlit was used to create a web app for the application.
Link to the full dataset: https://www.kaggle.com/datasets/rupakroy/online-payments-fraud-detection-dataset
clone the repo git clone git clone https://github.com/Fayyo/Fraud-Detection/'
Then run streamlit run main.py to view the app locally
Installing packages pip install -r requirements.txt
The app has been deployed and can be viewed at: https://fayyo-fraud-detection-main-prfl91.streamlitapp.com/