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Football Analytics with Python & R: Learning Data Science Through the Lens of Sports
Language: English
Published by O'Reilly Media (edition 1), 2023
ISBN 10: 1492099627 ISBN 13: 9781492099628
Paperback. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Paperback. Condition: New. Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs. Fans use data to guide fantasy team picks and strategies. Sports bettors and fantasy football players are using data to help inform decision making. This concise book provides a clear introduction to using statistical models to analyze football data.Whether your goal is to produce a winning team, dominate your fantasy football league, qualify for an entry-level football analyst position, or simply learn R and Python using fun example cases, this book is your starting place. You'll learn how to:Apply basic statistical concepts to football datasetsDescribe football data with quantitative methodsCreate efficient workflows that offer reproducible resultsUse data science skills such as web scraping, manipulating data, and plotting dataImplement statistical models for football dataLink data summaries and model outputs to create reports or presentations using tools such as R Markdown and R ShinyAnd more.
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Condition: As New. Unread book in perfect condition.
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Football Analytics with Python and R
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 61.07
Free Shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New. Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs. Fans use data to guide fantasy team picks and strategies. Sports bettors and fantasy football players are using data to help inform decision making. This concise book provides a clear introduction to using statistical models to analyze football data.Whether your goal is to produce a winning team, dominate your fantasy football league, qualify for an entry-level football analyst position, or simply learn R and Python using fun example cases, this book is your starting place. You'll learn how to:Apply basic statistical concepts to football datasetsDescribe football data with quantitative methodsCreate efficient workflows that offer reproducible resultsUse data science skills such as web scraping, manipulating data, and plotting dataImplement statistical models for football dataLink data summaries and model outputs to create reports or presentations using tools such as R Markdown and R ShinyAnd more.
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Football Analytics With Python & R : Learning Data Science Through the Lens of Sports
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 49.55
US$ 20.09 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: New.
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Football Analytics with Python & R: Learning Data Science Through the Lens of Sports
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 57.58
US$ 16.05 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: New. In.
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US$ 53.75
US$ 20.75 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketpaperback. Condition: New.
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Football Analytics With Python & R : Learning Data Science Through the Lens of Sports
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 59.18
US$ 20.09 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: As New. Unread book in perfect condition.
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US$ 63.50
US$ 20.75 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketpaperback. Condition: New.
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Football Analytics With Python & R: Learning Data Science Through the Lens of Sports
Language: English
Published by Oreilly & Associates Inc, 2024
ISBN 10: 1492099627 ISBN 13: 9781492099628
US$ 76.01
US$ 16.75 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 300 pages. 9.19x7.00x0.90 inches. In Stock.
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Paperback. Condition: New. Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs. Fans use data to guide fantasy team picks and strategies. Sports bettors and fantasy football players are using data to help inform decision making. This concise book provides a clear introduction to using statistical models to analyze football data.Whether your goal is to produce a winning team, dominate your fantasy football league, qualify for an entry-level football analyst position, or simply learn R and Python using fun example cases, this book is your starting place. You'll learn how to:Apply basic statistical concepts to football datasetsDescribe football data with quantitative methodsCreate efficient workflows that offer reproducible resultsUse data science skills such as web scraping, manipulating data, and plotting dataImplement statistical models for football dataLink data summaries and model outputs to create reports or presentations using tools such as R Markdown and R ShinyAnd more.
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US$ 58.26
US$ 87.07 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New. Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs. Fans use data to guide fantasy team picks and strategies. Sports bettors and fantasy football players are using data to help inform decision making. This concise book provides a clear introduction to using statistical models to analyze football data.Whether your goal is to produce a winning team, dominate your fantasy football league, qualify for an entry-level football analyst position, or simply learn R and Python using fun example cases, this book is your starting place. You'll learn how to:Apply basic statistical concepts to football datasetsDescribe football data with quantitative methodsCreate efficient workflows that offer reproducible resultsUse data science skills such as web scraping, manipulating data, and plotting dataImplement statistical models for football dataLink data summaries and model outputs to create reports or presentations using tools such as R Markdown and R ShinyAnd more.
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Football Analytics With Python & R: Learning Data Science Through the Lens of Sports
Language: English
Published by Oreilly & Associates Inc, 2024
ISBN 10: 1492099627 ISBN 13: 9781492099628
US$ 69.50
US$ 16.75 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 300 pages. 9.19x7.00x0.90 inches. In Stock. This item is printed on demand.
