fraud-detection-using-machine-learning | Topic

Topic: "fraud-detection-using-machine-learning"

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: over 1 year ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 5

forshaws/FraudTagger-Cardputer

M5Stack Cardputer interface for the FraudTagger API

Language: C++ - Size: 5.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

tedoaba/Fraud-Detection-for-e-commerce-and-Bank-Transaction

Fraud Detection for e-commerce and Bank Transactions

Language: Jupyter Notebook - Size: 19.8 MB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0

Qanfat/PaySim-Fraud-Detection-XGBoost

An XGBoost-based fraud detection modelto identify money laundering in mobile transactions using PaySim synthetic dataset.

Size: 1.95 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

BaseMax/fraud-detection-som

This project demonstrates the use of a Self-Organizing Map (SOM) for fraud detection in a dataset. The dataset contains transaction records, and the goal is to identify potential fraudulent transactions using unsupervised learning techniques.

Language: Python - Size: 8.79 KB - Last synced at: 14 days ago - Pushed at: 10 months ago - Stars: 1 - 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: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1

NazWright/daria

Real-time fraud detection architecture powered by AWS Kinesis, KaggleHub, and SMOTE-augmented data — the foundation of DARIA, the Detection And Risk-Intelligence Agent.

Language: Jupyter Notebook - Size: 163 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

KBhardwaj-007/Credit-Card-Fraud-Detection

An end-to-end MLOps project for credit card fraud detection. Features a cost-sensitive hybrid ensemble model, real-time monitoring dashboard with Streamlit, automated PDF fraud reporting, SHAP/LIME explainability, and proactive data drift detection.

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

potatoesAndMolasses/fraud_detection

Machine learning projects focused on fraud detection.

Language: Jupyter Notebook - Size: 349 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

supersaiyane/fraud-detection-mlops

End-to-end MLOps: SageMaker training, Model Registry, CI/CD, Guardrails, API Gateway.

Language: HCL - Size: 29.3 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

thomas-sutter/mlops-german-credit-risk

Operationalizing Machine Learning. Credit classification. Dataset from Professor Dr. Hans Hofmann, Institute of Statistics and Econometrics, University of Hamburg.

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

CelineBoutinon/faux-billets

ENSAE-ENSAI Formation Continue (Cepe)/OpenClassrooms Data Analyst 2022-2023 - Projet 10

Language: Python - Size: 5.35 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

emehglorychiamaka/financial_crime-detection

AI-powered system to detect and flag suspicious financial transactions in real time using Python, Excel, and SQL Server. Includes automated form validation, unsupervised anomaly detection (Isolation Forest), and live dashboard integration.

Language: Python - Size: 89.8 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

anjummehnazakumalla/Credit-Card-Fraud-Detection

Credit Card Fraud Detection using Logistic Regression, Random Forest, and XGBoost with hyperparameter tuning, model evaluation, and performance visualization.

Language: Jupyter Notebook - Size: 138 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

mondrita/Credit-Card-Fraud-Detection

A credit card fraud detection system using Machine learning

Language: Jupyter Notebook - Size: 19.8 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

abhishek010314/credit-card-fraud-detection

ML-based system to detect fraudulent credit card transactions with cost-benefit analysis.

Language: Jupyter Notebook - Size: 3.04 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

sumitdeole/AML_anomaly_detection

This project uses customer credit card transactions data, employs advanced anomaly detection and ML models and detects fraudulent transactions and networks.

Language: Jupyter Notebook - Size: 935 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

HamzaMehdi12/Classification_ML_Models

Classification models using ML models and Tree models

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Nachiket1904/fraud_transaction

A machine learning-based fraud detection system that preprocesses data, manages outliers, handles missing values, and mitigates multi-collinearity. It utilizes predictive modeling techniques (Logistic Regression, Random Forest, Gradient Boosting) and evaluates performance using precision, recall, F1-score, and ROC-AUC.

Language: Jupyter Notebook - Size: 566 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

project-CY033/Online-Payments-Fraud-Detection

To identify online payment fraud with machine learning, we need to train a machine learning model for classifying fraudulent and non-fraudulent payments. For this, we need a dataset containing information about online payment fraud, so that we can understand what type of transactions lead to fraud.

Size: 0 Bytes - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0