Course content
- Introduction
- The Three Types of Anomalies
- Anomaly Detection – Time Series
- Anomaly Detection –
- Unsupervised DBSCAN
- Anomaly Detection – Unsupervised Isolation Forest
- Anomaly Detection – Supervised
- Anomaly Detection – Images
- Anomaly Detection Using Deep Learning
- PyOD: A comparison of 10 algorithms
- Predicting High Impact Low Volume Events: Predictive Maintenance
- No Code (AutoML) approach to anomaly detection using PowerBl
- Machine Learning
- Bonus Lecture