KarthikMahalingam8881/Optimizing-Credit-Card-Fraud-Detection

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.

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

Aaratiii/CODSOFT-Credit_Card_Fraud_Detection

This project detects fraudulent credit card transactions using Logistic Regression and Random Forest, incorporating data preprocessing for better accuracy. It evaluates model performance with precision, recall, and F1-score. Built with Python, it utilizes Scikit-learn for modeling and Seaborn for insightful data analysis and visualization.

Language: Jupyter Notebook - Size: 7.72 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

kamlesh-IY9/Credit-Card-Transactions-Fraud-Detection-by-Afame-Technologies

🛡️ 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! 🔐💯

Language: Jupyter Notebook - Size: 1000 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

Adijkul/credit_card_fraud_detection

Language: Jupyter Notebook - Size: 31.3 KB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

goutamhegde002/Creditcard-Fraud-Detection-Streamlit-Application-

Creditcard Fraud Detection Streamlit Application with ARIMA and LOF

Language: Python - Size: 20.5 KB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

shreyashguptas/Credit-Card-Fraud-Detection-using-Machine-Learning

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.

Language: Jupyter Notebook - Size: 3.15 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

RaimbekovA/bank-card-fraud-detection-using-machine-learning

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

Language: Python - Size: 41.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 12 - Forks: 5