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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

Stars: 66
Forks: 43
Open issues: 2

License: mit
Language: Jupyter Notebook
Size: 4.11 MB
Dependencies parsed at: Pending

Created at: over 7 years ago
Updated at: about 2 years ago
Pushed at: over 7 years ago
Last synced at: about 2 years ago

Topics: data-mining, jupyter-notebook, machine-learning, network-intrusion-detection, python

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