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Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
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 R
Introduction to the Tidyverse
What You Will Learn
This chapter explores what a statistical model is, R objects which build models, and the basic R notation, called formulas used for models
In this chapter, you'll start building models: specifying what variables models should relate to one another and training models on the available data
You'll also provide new inputs to models to generate the corresponding outputs
You'll use cross validation to compare different models
You'll see how the recursive partitioning model architecture, which has an internal logic for selecting explanatory variables, can be used to explore potentially complex relationships among variables
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