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Machine Learning - Anomaly Detection via PyCaret

In this 2 hour long project-based course you will learn how to perform anomaly detection, its importance in machine learning, set up PyCaret anomaly detection, create, visualize & compare anomaly detection algorithms all this with just a few lines of code.
Status: Applied Machine Learning
Status: Data Preprocessing
IntermediateGuided Project2 hours

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Sudharshana Bharathi
5.0
Reviewed Oct 29, 2022Venkatesh Prabhu
3.0
Reviewed Sep 13, 2021Expected a more challenging use case, but the one reviewed is pretty basic. If it is targeted at beginners then probably you should try to explain Anomaly Detection a little more and real-life examples. I felt it would be too hard for beginners to understand and too easy for intermediates to be challenged with. The effort is great but expected more.
Dmitry Goldenberg
2.0
Reviewed Oct 20, 2023This was a decent intro into anomaly detection for the price and time spent. I wish there was something a lot more comprehensive. This topic demands a much more thorough introduction. Also I felt like the final quiz had some errors. I hope I can find a better course on this.
Niklas Joensen
2.0
Reviewed Feb 19, 2025Method explanations too shallow
Alnour Alharin
1.0
Reviewed Sep 10, 2021Not useful at all. go to the documentation
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