Machine Learning
Intrusion Detection System Using Machine Learning
A ML-based model for detecting network intrusions.
Completed: Oct 2023
About This Project
A machine learning intrusion detection system developed using classical ML algorithms. The project includes preprocessing the NSL-KDD dataset, feature engineering, scaling techniques, model training, and evaluation. The system detects abnormal network activity and classifies potential security threats.