- Main
- Computers - Organization and Data Processing
- Football Analytics with Python and R:...
Football Analytics with Python and R: Learning Data Science Through the Lens of Sports
Eric A. Eager, Richard A. EricksonQuanto ti piace questo libro?
Qual è la qualità del file?
Scarica il libro per la valutazione della qualità
Qual è la qualità dei file scaricati?
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 datasets
• Describe football data with quantitative methods
• Create efficient workflows that offer reproducible results
• Use data science skills such as web scraping, manipulating data, and plotting data
• Implement statistical models for football data
• Link data summaries and model outputs to create reports or presentations using tools such as R
• Markdown and R Shiny
• And more
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 datasets
• Describe football data with quantitative methods
• Create efficient workflows that offer reproducible results
• Use data science skills such as web scraping, manipulating data, and plotting data
• Implement statistical models for football data
• Link data summaries and model outputs to create reports or presentations using tools such as R
• Markdown and R Shiny
• And more
Categorie:
Anno:
2023
Edizione:
1
Casa editrice:
O'Reilly Media
Lingua:
english
Pagine:
352
ISBN 10:
1492099627
ISBN 13:
9781492099628
File:
PDF, 20.28 MB
I tuoi tag:
IPFS:
CID , CID Blake2b
english, 2023
Il file verrà inviato al tuo indirizzo email. Ci vogliono fino a 1-5 minuti prima di riceverlo.
Entro 1-5 minuti il file verrà consegnato al tuo account Telegram.
Attenzione: assicurati di aver collegato il tuo account al bot Z-Library Telegram.
Entro 1-5 minuti il file verrà consegnato al tuo dispositivo Kindle.
Nota: devi verificare ogni libro che desideri inviare al tuo Kindle. Controlla la tua casella di posta per l'e-mail di verifica da Amazon Kindle Support.
La conversione in è in corso
La conversione in non è riuscita
Vantaggi dello status Premium
- Inviare a lettori di e-book
- Limite aumentato di download
- Converti i file
- Più risultati di ricerca
- Altri vantaggi