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Supervised method chapter evaluation

By Grenoble INP – UGA - Grenoble INP – UGA

Type of course:

Digital learning, Lesson

Language:

EN

Duration:

60 minutes

Workload:

2 hours

Proficiency:

Advanced

Target:

Manager, Professionals, Workers

In this activity, learners will be presented with a set of questions related to the concepts and algorithms covered in the supervised learning chapter. The questions will cover a variety of topics, such as regression analysis, classification models, decision trees, and ensemble methods.


Learning outcomes

  1. At the end of this nugget, the learner will be able to use regression analysis, classification models, decision trees, and ensemble methods to build a predictive model.

Topics

Digital Transformation, Artificial Intelligence (AI), Data Analytics

Provided by

Content created in 2021
+225 enrolled
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Course Includes

  • 1 Quiz

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