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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.

状态:Data Analysis
状态:Logistic Regression
中级课程小时

精选评论

CH

5.0评论日期:Jun 26, 2021

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

MA

4.0评论日期:Jan 11, 2022

course content is very concise and easy to understand

GK

4.0评论日期:Sep 17, 2023

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

NA

4.0评论日期:Jan 27, 2022

good course to understand the fundamentals of predictive analysis

MM

5.0评论日期:Mar 25, 2023

Rather short, but still comprehensive enough for a beginner.

所有审阅

显示:14/14

Eunji Noh
2.0
评论日期:Dec 11, 2021
Charl du Plessis
2.0
评论日期:Jan 20, 2022
DIVISHA AGARWAL
5.0
评论日期:Apr 21, 2021
Noaman Asar
4.0
评论日期:Jan 28, 2022
Christian Paul D. Huelma
5.0
评论日期:Jun 26, 2021
Monika
5.0
评论日期:Mar 26, 2023
NARRA RAJESWARI HU21CSEN0400226
5.0
评论日期:Sep 25, 2023
Seyi Adeyemi Y.
5.0
评论日期:Oct 31, 2022
ELMER MAGAÑA PEREZ
5.0
评论日期:Nov 14, 2022
A hanzila
5.0
评论日期:Mar 20, 2026
SHAIK NOOR BASHA RASOOL
5.0
评论日期:Aug 3, 2025
Gaurav Narendra Kumar
4.0
评论日期:Sep 17, 2023
Mahesh Shivaji Andhale
4.0
评论日期:Jan 12, 2022
Soe Moe
3.0
评论日期:Apr 11, 2022