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.
Overview
Syllabus
Intro
Where Are We Heading?
When to Use R?
Where to Get R
Data Frame
Other Linear Relationships
Steps to Creating a Predictive Model
Steps to Training a Predictive Model
Training a Predictive Model Demo
Predictive Modeling Process
Revisiting: Driving Into Boston
Reality Checking - It's Not Magic
Choosing the model
You Have Options!
Cognitive Services
Taught by
Bryan Cafferky
