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Back to Predictive Modeling, Model Fitting, and Regression Analysis

Learner Reviews & Feedback for Predictive Modeling, Model Fitting, and Regression Analysis by University of California, Irvine

4.4
stars
59 ratings

About the Course

Welcome to Predictive Modeling, Model Fitting, and Regression Analysis. In this course, we will explore different approaches in predictive modeling, and discuss how a model can be either supervised or unsupervised. We will review how a model can be fitted, trained and scored to apply to both historical and future data in an effort to address business objectives. Finally, this course includes a hands-on activity to develop a linear regression model....

Top reviews

CH

Jun 26, 2021

Thank you Very Much I learn a lot of Thing with all kinds of Predative Modeling that I can use.

MM

Mar 25, 2023

Rather short, but still comprehensive enough for a beginner.

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1 - 12 of 12 Reviews for Predictive Modeling, Model Fitting, and Regression Analysis

By Eunji N

•

Dec 11, 2021

To be honest, I got this course because I have Plus membership which is unlimited. It does explain very basic concept of modeling/classification but It's very very basic level that you can easily find on google. course is extremely short and not very beneficial to invest money.

By Charl d P

•

Jan 20, 2022

Information very thin and there are annoying mistakes.

By DIVISHA A

•

Apr 21, 2021

good course for beginners

By Noaman A

•

Jan 28, 2022

good course to understand the fundamentals of predictive analysis

By Christian P D H

•

Jun 27, 2021

Thank you Very Much I learn a lot of Thing with all kinds of Predative Modeling that I can use.

By Monika

•

Mar 26, 2023

Rather short, but still comprehensive enough for a beginner.

By NARRA R H

•

Sep 25, 2023

its good. i got a great insight

By Seyi A Y

•

Oct 31, 2022

very detailed

By ELMER M P

•

Nov 14, 2022

excelent

By Gaurav N K

•

Sep 18, 2023

This course helped me to apply regression techniques on my current job assignments

By Mahesh S A

•

Jan 12, 2022

course content is very concise and easy to understand

By Soe M

•

Apr 11, 2022

good