Bank card fraud detection using machine learning. Web application using Streamlit framework

🛡️ Welcome to our Credit Card Fraud Detection project! 💳 Harnessing the formidable prowess machine learning, we're steadfast in our mission to fortify your financial stronghold against deceitful adversaries. Join our crusade for financial resilience,Ensuring every transaction is securely monitored! 🔐💯

This project aims to detect credit card fraud using various machine learning techniques. It explores the Credit Card Fraud Detection dataset, handles imbalanced data, trains models, and evaluates their performance. The project also investigates the impact of outlier removal on model accuracy.

Building a model that uses a dataset containing transaction data to detect fraudulent transactions.

Creditcard Fraud Detection Streamlit Application with ARIMA and LOF

This project detects credit card fraud using machine learning and deep learning models, including Random Forest, SVM, and Neural Networks, ensuring accurate classification and supporting fraud prevention efforts.