GitHub topics: fraud-detection-using-machine-learning
shambhuraj-patil/ML-Major-Project
An end-to-end machine learning system for detecting fraudulent transactions. This project includes data cleaning, visualization, handling class imbalance with SMOTE, feature scaling, and training robust classification models like Logistic Regression and Random Forest with hyperparameter tuning.
Language: Python - Size: 274 KB - Last synced at: 3 days ago - Pushed at: 3 days 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: 11 days ago - Pushed at: 11 days ago - Stars: 0 - 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: 29 days ago - Pushed at: 29 days 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: about 1 month ago - Pushed at: about 1 month 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: 2 months ago - Pushed at: 2 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: 2 months ago - Pushed at: 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: 17 days ago - Pushed at: 3 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: 5 months ago - Pushed at: 5 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: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
darshhv/Fraud-Detection-System
A machine learning project for detecting fraudulent transactions using Random Forest and XGBoost models, with data preprocessing and model evaluation.
Language: Python - Size: 648 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
bartublack/PaySim-Fraud-Detection-XGBoost
An XGBoost-based fraud detection modelto identify money laundering in mobile transactions using PaySim synthetic dataset.
Language: Jupyter Notebook - Size: 2.93 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - 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: 4 days ago - Pushed at: 6 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: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1
fx818/Fraud-Detection
Fraud detection in Insurance Companies
Language: Jupyter Notebook - Size: 76.2 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - 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: 7 months ago - Stars: 1 - Forks: 0
SowmyaKothari/Credit-Card-Fraud-Detection
Machine learning-based fraud detection system capable of identifying and preventing fraudulent transactions in real-time for Finex, a financial service provider based in Florida.
Language: Jupyter Notebook - Size: 739 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
Srijan-Arya/Credit-Score-Classifier
Credit Score Classification: This repository features a machine learning project aimed at predicting credit scores based on financial data. Using advanced models like Random Forest and Gradient Boosting.
Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: 15 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
Huned-materwala/Ethereum-Fraud-Transaction-Detection
Ethereum fraud transaction detection using machine learning
Language: Jupyter Notebook - Size: 118 MB - Last synced at: 11 months ago - Pushed at: 11 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
