GitHub - Christopherdillard99/Sports_Analytics_in_R: This repository contains a few of the assignments and projects I completed as part of my Sports Analytics course. The final project is titled "Random Forest Model Predicting NFL Comeback at Halftime", which accompanies the Powerpoint containing my interpretation of the model's performance and its usability.

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This repository contains a few of the assignments and projects I completed as part of my Sports Analytics course. The final project is titled "Random Forest Model Predicting NFL Comeback at Halftime", which accompanies the Powerpoint containing my interpretation of the model's performance and its usability.

medium.com/@christopherdillard99/war-what-is-it-good-for-in-baseball-bbb83fb30887

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Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
Bradley_Terry Work.Rmd		Bradley_Terry Work.Rmd
Four Factors Answers.Rmd		Four Factors Answers.Rmd
Minimum Violations Model Work.Rmd		Minimum Violations Model Work.Rmd
Noll Scully - Baseball Analysis.docx		Noll Scully - Baseball Analysis.docx
Pythagorean_Expectation.Rmd		Pythagorean_Expectation.Rmd
Random Forest Model Predicting NFL Comeback at Halftime Powerpoint.pptx		Random Forest Model Predicting NFL Comeback at Halftime Powerpoint.pptx
Random Forest Model Predicting NFL Comeback at Halftime.Rmd		Random Forest Model Predicting NFL Comeback at Halftime.Rmd
Runs_Created.Rmd		Runs_Created.Rmd
Shot Chart Blog Post.Rmd		Shot Chart Blog Post.Rmd
WAR Blog.rmd		WAR Blog.rmd