GitHub / SuryaVamsi-P / Credit-Card-Fraud-Detection-ML
Built a machine learning pipeline to detect fraudulent credit card transactions using real-world data (1M+ rows). Explored fraud patterns, validated key hypotheses, and optimized models like KNN, Random Forest, and SVM with 98%+ recall. Strong focus on data insights & impact.
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PURL: pkg:github/SuryaVamsi-P/Credit-Card-Fraud-Detection-ML
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 4.88 KB
Dependencies parsed at: Pending
Created at: 2 months ago
Updated at: 2 months ago
Pushed at: 2 months ago
Last synced at: 2 months ago
Topics: binary-classification, classification, credit-card-transactions, data-analysis, data-science, eda, feature-engineering, financial-data, fraud-detection, fraudulent-activity, imbalanced-data, knn, machine-learning, model-evaluation, python, random-forest, real-world-dataset, recall-optimization, scikit-learn, svm