Apply the principles of Decision Trees to your modeling! This course is intended for AI and Data Science professionals seeking a fundamental understanding of Naive Bayes and Decision Trees. During this, participants will review key concepts such as decision node, leaf node, splitting and pruning, attribute order and selection. Participants will also learn the differences Naive Bayes and Decision Trees and feature independence. This course is a great introduction to supervised learning used for classifications. - Course is free for Silver, Gold and Elite Tier members - 45 - 60 minutes of learning - Participants must pass the assessment to earn a digital badge and certificate