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1
Intro
2
Where Are We Heading?
3
When to Use R?
4
Where to Get R
5
Data Frame
6
Other Linear Relationships
7
Steps to Creating a Predictive Model
8
Steps to Training a Predictive Model
9
Training a Predictive Model Demo
10
Predictive Modeling Process
11
Revisiting: Driving Into Boston
12
Reality Checking - It's Not Magic
13
Choosing the model
14
You Have Options!
15
Cognitive Services
Description:
Explore the fundamentals of predictive modeling and learn to create models using R programming language in this comprehensive video tutorial. Discover the concepts behind predictive modeling, understand when to use R, and learn how to obtain the software. Delve into data frames and linear relationships before diving into the step-by-step process of creating, training, and testing predictive models. Follow along with a hands-on demonstration and gain insights into the predictive modeling process. Examine real-world applications, such as driving into Boston, and learn to critically evaluate model results. Compare different modeling options and explore cognitive services to enhance your predictive modeling skills. Access additional content and resources on GitHub to further support your learning journey.

Understanding Predictive Modeling with R

Bryan Cafferky
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