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GitHub / prathamesh693 / 01_Credit-Card-Fraud-Detection-Using-Anomaly-Detection

This repository contains a machine learning-based system for detecting fraudulent credit card transactions using Isolation Forest and One-Class SVM algorithms. The project includes data preprocessing, exploratory data analysis (EDA), model training, evaluation, and real-time fraud prediction via a Streamlit web interface.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prathamesh693%2F01_Credit-Card-Fraud-Detection-Using-Anomaly-Detection
PURL: pkg:github/prathamesh693/01_Credit-Card-Fraud-Detection-Using-Anomaly-Detection

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 81 MB
Dependencies parsed at: Pending

Created at: about 1 month ago
Updated at: about 1 month ago
Pushed at: about 1 month ago
Last synced at: about 1 month ago

Topics: anomaly-detection, data-mining, data-science, exploratory-data-analysis, isolation-forest, machine-learning, oneclasssvm, robustscaler, scikit-learn

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