Idioma: Inglés
Publicado por O'Reilly Media (edition 1), 2023
ISBN 10: 1492099627 ISBN 13: 9781492099628
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 19,54
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Añadir al carritoPaperback. Condición: 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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 40,95
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EUR 45,80
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Añadir al carritoPaperback. Condición: 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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 43,78
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 48,81
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EUR 54,19
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Añadir al carritoPaperback. Condición: 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 49,60
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Librería: Chiron Media, Wallingford, Reino Unido
EUR 46,30
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 50,99
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Librería: Chiron Media, Wallingford, Reino Unido
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Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2024
ISBN 10: 1492099627 ISBN 13: 9781492099628
Librería: Revaluation Books, Exeter, Reino Unido
EUR 65,49
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Añadir al carritoPaperback. Condición: Brand New. 300 pages. 9.19x7.00x0.90 inches. In Stock.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 86,96
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 47,67
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: 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.
EUR 50,19
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Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2024
ISBN 10: 1492099627 ISBN 13: 9781492099628
Librería: Revaluation Books, Exeter, Reino Unido
EUR 59,88
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 300 pages. 9.19x7.00x0.90 inches. In Stock. This item is printed on demand.