GitHub / jvmolu / Network-Anomaly-Detection

Explore Network Anomaly Detection Project 📊💻. It achieves an exceptional 99.7% accuracy through a blend of supervised and unsupervised learning, extensive feature selection, and model experimentation. Stunning data visualizations using synthetic network traffic data offer insightful representations of anomalies, enhancing network security.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jvmolu%2FNetwork-Anomaly-Detection

Topics: auto-encoders, deep-learning, feature-engineering, machine-learning-algorithms, network-anomaly-detection, python3

• Files
• Readme
• Dependencies