Course Report
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Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Introduction to Regression in R
What You Will Learn
In this chapter we introduce the concept of regression from a machine learning point of view
Now that we have mastered linear models, we will begin to look at techniques for modeling situations that don't meet the assumptions of linearity
While more sophisticated regression techniques manage some of these issues automatically, it's important to be aware of them, in order to understand which methods best handle various issues -- and which issues you must still manage yourself
You'll learn about different regression models, how to train these models in R, how to evaluate the models you train and use them to make predictions
Course Instructors
John Mount
Co-founder, Principal Consultant at Win-Vector, LLC
Nina Zumel
Co-founder, Principal Consultant at Win-Vector, LLC