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Football analytics with python & r: learning data science through the lens of sports,...

780 грн

Описание

Baseball is not the only sport to use "moneyball." American football teams,
fantasy football players, fans, and gamblers are increasingly using data to
gain an edge on the competition. Professional and college teams use data to
help identify team needs and select players to fill those needs. Fantasy
football players and fans use data to try to defeat their friends, while
sports bettors use data in an attempt to defeat the sportsbooks.

In this concise book, Eric Eager and Richard Erickson provide a clear
introduction to using statistical models to analyze football data using both
Python and R. Whether your goal is to qualify for an entry-level football
analyst position, dominate your fantasy football league, or simply learn R and
Python with fun example cases, this book is your starting place.

Through case studies in both Python and R, you'll learn to:

Obtain NFL data from Python and R packages and web scraping

Visualize and explore data

Apply regression models to play-by-play data

Extend regression models to classification problems in football

Apply data science to sports betting with individual player props

Understand player athletic attributes using multivariate statistics

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