Machine Learning Model Monitoring in Production: Practical Task 2

Type of course:

Digital learning, Lesson

Language:

Duration:

15 minutes

Workload:

2 hours

Proficiency:

Intermediate

Target:

Manager, Professionals, Workers

In this task nugget, learners will have an opportunity to practice concepts about ML Model Monitoring, especially detecting drift detection using dedicated libraries and software.

Learning outcomes

Install the river Machine Learning python library
Use the river Machine Learning python library to detect drifts in univariate data series.
Use the river Machine Learning python library to visualize data