Machine Learning & AI Foundations: Linear Regression.
(Online Course)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2018.
Format
Online Course
Status
Description
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Language
English
Notes
General Note
5/30/201812:00:00AM
Participants/Performers
Presenter: Keith McCormick
Description
Expand your data science skills by learning how to leverage the concepts of linear regression to solve real-world problems.
Description
Having a solid understanding of linear regression—a method of modeling the relationship between one dependent variable and one to several other variables—can help you solve a multitude of real-world problems. Applications areas involve predicting virtually any numeric value including housing values, customer spend, and stock prices. This course reveals the concepts behind the most important linear regression techniques and how to use them effectively. Throughout the course, instructor Keith McCormick uses IBM SPSS Statistics as he walks through each concept, so some exposure to that software is assumed. But the emphasis will be on understanding the concepts and not the mechanics of the software. SPSS users will have the added benefit of being exposed to virtually every regression feature in SPSS. Keith covers simple linear regression, explaining how to build effective scatter plots and calculate and interpret regression coefficients. He also dives into the challenges and assumptions of multiple regression and steps through three distinct regression strategies. To wrap up, he discusses some alternatives to regression, including regression trees and time series forecasting.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
McCormick, K. (2018). Machine Learning & AI Foundations: Linear Regression . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)McCormick, Keith. 2018. Machine Learning & AI Foundations: Linear Regression. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)McCormick, Keith. Machine Learning & AI Foundations: Linear Regression linkedin.com, 2018.
MLA Citation, 9th Edition (style guide)McCormick, Keith. Machine Learning & AI Foundations: Linear Regression linkedin.com, 2018.
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