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学生对 加州大学尔湾分校 提供的 Predictive Modeling, Model Fitting, and Regression Analysis 的评价和反馈
37 个评分
课程概述
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.
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1 - Predictive Modeling, Model Fitting, and Regression Analysis 的 7 个评论（共 7 个）
创建者 Charl d P
•Jan 20, 2022
Information very thin and there are annoying mistakes.
创建者 DIVISHA A
•Apr 21, 2021
good course for beginners
创建者 Noaman A
•Jan 28, 2022
good course to understand the fundamentals of predictive analysis
创建者 EJ 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.
创建者 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.
创建者 Mahesh S A
•Jan 12, 2022
course content is very concise and easy to understand
创建者 soe m
•Apr 11, 2022
good
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