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: 12 months ago - Pushed at: 12 months ago - Stars: 12 - Forks: 5

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: 2 days ago - Pushed at: 2 days 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: 1 day ago - Pushed at: 5 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: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 1

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: 3 months ago - Pushed at: 6 months ago - Stars: 1 - 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: 13 days ago - Pushed at: 13 days 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: about 1 month ago - Pushed at: about 1 month 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: about 2 months ago - Pushed at: about 2 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: 19 days ago - Pushed at: about 2 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: 4 months ago - Pushed at: 4 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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0