Network Anomaly Detection

1. Feature Engineering with correlated matrix 2. Applied PCA 3. Tuned HyperParameters using Grid Search CV for Random Forest and XGBoost Classifier 4. Compared the above 2 algorithms with Logistic regression 5. Selected Random Forest according to f1 score