Applied Machine Learning: Ensemble Learning

Applied Machine Learning: Ensemble Learning
Duration: 2h 25m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.23 GB

Review the basics of the machine learning pipeline to find out where ensemble learners sit within it. Learn about the underlying theory that drives ensemble learners, covering examples of ensemble learning in Python and then implementing models of your own. Explore concepts like boosting, bagging, and stacking, and how to use each and when. Get the tools you need to ramp up your predicting power and advance your machine learning skills today.

More Info