GitHub / dimtics / Network-Intrusion-Detection-Using-Machine-Learning-Techniques
Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (KNN), Logistic Regression and Random Forest.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dimtics%2FNetwork-Intrusion-Detection-Using-Machine-Learning-Techniques
PURL: pkg:github/dimtics/Network-Intrusion-Detection-Using-Machine-Learning-Techniques
Stars: 66
Forks: 43
Open issues: 2
License: mit
Language: Jupyter Notebook
Size: 4.11 MB
Dependencies parsed at: Pending
Created at: about 8 years ago
Updated at: over 2 years ago
Pushed at: almost 8 years ago
Last synced at: over 2 years ago
Topics: data-mining, jupyter-notebook, machine-learning, network-intrusion-detection, python