Skip to content

Latest commit

 

History

History

Chapter 11: Machine Learning Anomaly Detection

This chapter revisits anomaly detection on login attempt data, using machine learning techniques, all while giving you a taste of how the workflow looks in practice.

Content

We will work through five notebooks emulating a real-world scenario using the simulated data in the logs/ directory. Here's a breakdown of the files included in this chapter:

The end-of-chapter exercises will use the data in the logs/ directory to explore additional algorithms for machine learning anomaly detection; solutions to these exercises can be found in the repository's solutions/ch_11/ directory.