GitHub / MohamedLotfy989 / Credit-Card-Fraud-Detection
This repository focuses on credit card fraud detection using machine learning models, addressing class imbalance with SMOTE & undersampling, and optimizing performance via Grid Search & RandomizedSearchCV. It explores Logistic Regression, Random Forest, Voting Classifier, and XGBoost. balancing precision-recall trade-offs for fraud detection.
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PURL: pkg:github/MohamedLotfy989/Credit-Card-Fraud-Detection
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Forks: 0
Open issues: 0
License: bsd-2-clause
Language: Jupyter Notebook
Size: 3.39 MB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 4 months ago
Topics: classic-machine-learning, credit-card-fraud, ensemble-learning, fraud-detection, grid-search-hyperparameters, hyperparameter-tuning, imbalanced-data, logistic-regression, precision-recall, random-forest, randomizedsearchcv, smote, threshold-tuning, undersampling, voting-classifier, xgboost