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Forecasting US Presidential Elections with Mixed Models

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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Length 2 weeks
Effort 2 hours
Starts Nov 21 (last week)
Cost $9
From Coursera Project Network via Coursera
Instructor Vinod Bakthavachalam
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming Mathematics
Tags Data Science Machine Learning Probability And Statistics

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Rating Not enough ratings
Length 2 weeks
Effort 2 hours
Starts Nov 21 (last week)
Cost $9
From Coursera Project Network via Coursera
Instructor Vinod Bakthavachalam
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming Mathematics
Tags Data Science Machine Learning Probability And Statistics

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