This repository contains examples of how to use ML methods in practice.
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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.
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Online learning in practice: In this notebook, three online learning libraries implemented in python, riverml, streamndr, and scikit-multiflow have been used for demonstration.
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Intrusion Detection in practice: In this notebook, several experiments are carried out on the CSE-CIC-IDS2018 data set for intrusion detection.
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Anomaly Detection in practice: This notebook is intended to demonstrate how to use anomaly detectors implemented in PyOD and scikit-learn.