Anomaly Detection in Network Traffic
Built ML models (Random Forest, XGBoost, LightGBM, Neural Networks) to detect cyber-attacks using UNSW-NB15. Compared precision/recall to reduce false positives, addressed class imbalance, and focused on feature engineering.