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学生对 Coursera Project Network 提供的 Forecasting US Presidential Elections with Mixed Models 的评价和反馈

4.3
10 个评分
2 条评论

课程概述

In this project-based course, you will learn how to forecast US Presidential Elections. We will use mixed effects models in the R programming language to build a forecasting model for the 2020 election. The project will review how the US selects Presidents in the Electoral College, stylized facts about voting trends, the basics of mixed effects models, and how to use them in forecasting....
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1 - Forecasting US Presidential Elections with Mixed Models 的 2 个评论(共 2 个)

创建者 Gregory G J

Jan 15, 2021

Thumbs Up!

创建者 Jorge G

Feb 25, 2021

I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously. It is very easy to download the videos and difficult to get hold of the material, but with ingenuity it is possible. Then I recommend uploading them to YouTube and keeping them private for when they want to consult (they avoid legal problems and can share with friends), then they can request a refund.