Machine learning based intrusion detection models (Gaussian Naïve Bayes, Logistic Regression, SVM, ensembled AdaBoost, KNN and Decision Tree classification algorithms) with hyper-parameter tuning for anomaly detecion in KDD Cup'99 dataset.

Work done as part of an assignment by Muhammad Akbar Husnoo.