Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 24,54
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
EUR 27,97
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Añadir al carritoCondición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
EUR 27,97
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Añadir al carritoCondición: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Librería: WeBuyBooks, Rossendale, LANCS, Reino Unido
EUR 30,82
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Añadir al carritoCondición: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 38,40
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 41,53
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por O'Reilly Media 9/19/2023, 2023
ISBN 10: 1492099627 ISBN 13: 9781492099628
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 45,17
Cantidad disponible: 5 disponibles
Añadir al carritoPaperback or Softback. Condición: New. Football Analytics with Python & R: Learning Data Science Through the Lens of Sports. Book.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 46,07
Cantidad disponible: 15 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
EUR 46,45
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.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 49,50
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
EUR 43,57
Cantidad disponible: 15 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
EUR 55,69
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.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 47,76
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new.
Librería: medimops, Berlin, Alemania
EUR 46,86
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 43,56
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Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 50,98
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. In.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 53,71
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. 2023. 1st Edition. paperback. . . . . .
Librería: Chiron Media, Wallingford, Reino Unido
EUR 47,24
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Añadir al carritopaperback. Condición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 51,24
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 53,22
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 66,20
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. 2023. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 71,20
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2024
ISBN 10: 1492099627 ISBN 13: 9781492099628
Librería: Revaluation Books, Exeter, Reino Unido
EUR 66,36
Cantidad disponible: 2 disponibles
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 86,29
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por O'reilly Media Nov 2023, 2023
ISBN 10: 1492099627 ISBN 13: 9781492099628
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
EUR 67,00
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware -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 Englisch.
Idioma: Inglés
Publicado por O'reilly Media Nov 2023, 2023
ISBN 10: 1492099627 ISBN 13: 9781492099628
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 67,00
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware -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 Englisch.
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 48,33
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 44,34
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: NEW.
Idioma: Inglés
Publicado por O'reilly Media Nov 2023, 2023
ISBN 10: 1492099627 ISBN 13: 9781492099628
Librería: Wegmann1855, Zwiesel, Alemania
EUR 67,00
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware -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.
Librería: BestAroundDeals, Grand Rapids, MI, Estados Unidos de America
Original o primera edición
EUR 114,35
Cantidad disponible: 1 disponibles
Añadir al carritoSoft cover. Condición: New. 1st Edition.