Bayes network

Type of course:

Digital learning, Lesson

Language:

Duration:

24 minutes

Workload:

2 hours

Proficiency:

Advanced

Target:

Manager, Professionals, Workers

The objective of this nugget is to provide a thorough understanding of Bayes network, its application in classification, and techniques for evaluating its performance.You’ll gain insights into the principles of Bayes network and the Naïve Bayes algorithm for building classification models. Additionally, you’ll learn how to handle missing data and how to perform feature selection to improve classification accuracy.

Learning outcomes

At the end of this nugget, the student will be able to evaluate the accuracy of the model in classifying data by comparing predicted values with actual values.