Back to Predictive Modeling, Model Fitting, and Regression Analysis
University of California, Irvine

Predictive Modeling, Model Fitting, and Regression Analysis

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.

Status: Descriptive Analytics
Status: Decision Tree Learning
IntermediateCourse4 hours

Featured reviews

MA

4.0Reviewed Jan 12, 2022

course content is very concise and easy to understand

CH

5.0Reviewed Jun 27, 2021

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

NA

4.0Reviewed Jan 28, 2022

good course to understand the fundamentals of predictive analysis

GK

4.0Reviewed Sep 18, 2023

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

MM

5.0Reviewed Mar 26, 2023

Rather short, but still comprehensive enough for a beginner.

All reviews

Showing: 14 of 14

Eunji Noh
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Reviewed Dec 12, 2021
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DIVISHA AGARWAL
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Reviewed Apr 22, 2021
Noaman Asar
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Reviewed Jan 28, 2022
Christian Paul D. Huelma
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Reviewed Jun 27, 2021
Monika
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NARRA RAJESWARI HU21CSEN0400226
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Reviewed Sep 26, 2023
Seyi Adeyemi Y.
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ELMER MAGAÑA PEREZ
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Reviewed Sep 18, 2023
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Reviewed Apr 11, 2022