Machine Learning & AI: Advanced Decision Trees

( 0 Reviews )

Created by: Keith McCormick

Produced in 2017

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 0 / 100

Live Chat with CourseDuck's Co-Founder for Help

Need help deciding on a machine learning course? Or looking for more detail on Keith McCormick's Machine Learning & AI: Advanced Decision Trees? Feel free to chat below.

Join CourseDuck's Online Learning Discord Community

Course Description

If you're working towards an understanding of machine learning, it's important to know how to work with decision trees. In this course, explore advanced concepts and details of decision tree algorithms. Learn about the QUEST algorithm and how it handles nominal variables, ordinal and continuous variables, and missing data. Explore the C5.0 algorithm and review some of its key features such as global pruning and winnowing. Plus, dive into a few advanced topics that apply to all decision trees, such as boosting and bagging.

Advanced Level

Time: 1h 16m

Instructor Details

Keith McCormick

0.0 Rating
0 Reviews

Keith McCormick is an independent data miner, trainer, speaker, and author.

Keith is skilled at explaining complex methods to new users or decision makers at many levels of technical detail. He specializes in predictive models and segmentation analysis including classification trees, neural nets, general linear model, cluster analysis, and association rules.