CSI5388/ELG7186 Example notebooks

This repository contains examples of how to use ML methods in practice.

Over/Under sampling in practice: This notebook is intended to demonstrate how to use oversampling/undersampling strategies in practice with The Decision Tree Classifier used as example algorithm.
Online learning in practice: In this notebook, three online learning libraries implemented in python, riverml, streamndr, and scikit-multiflow have been used for demonstration.
Intrusion Detection in practice: In this notebook, several experiments are carried out on the CSE-CIC-IDS2018 data set for intrusion detection.
Anomaly Detection in practice: This notebook is intended to demonstrate how to use anomaly detectors implemented in PyOD and scikit-learn.

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
Anomaly Detection in practice.ipynb		Anomaly Detection in practice.ipynb
Intrusion Detection in practice.ipynb		Intrusion Detection in practice.ipynb
LICENSE		LICENSE
Online learning in practice.ipynb		Online learning in practice.ipynb
Oversampling and Undersampling in Practice.ipynb		Oversampling and Undersampling in Practice.ipynb
README.md		README.md

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