Learn to Code with Soccer by Nathan Braun (.PDF)
File Size: 10 MB
Learn to Code with Soccer: Learn Python, webscraping, Machine Learning and more, all applied to soccer data by Nathan Braun
Requirements: .PDF reader, 10 MB
Overview: A hands-on, beginner-friendly guide to Python and Data Science — taught entirely through soccer data. Soccer is a great gateway to coding. Learning to code isn’t hard, you just need to stick with it a bit. That’s why the most important thing is starting with a project you’re excited about. In this book, we will be working with Python, a free, open source programming language. This book is hands on, and you’ll need the ability to run Python 3 code and install packages. Spyder is free, open source program that lets you view, write and run Python code. It’s easy to set up and comes with most of what we need, although we’ll have to grab some extra packages once we get to chapter 6. It’s probably the best option for most people right now. What you’ll learn: All in the context of soccer, and designed so you can apply it to your own questions and do your own analysis. – Python & Pandas: The foundation of everything from data munging to web scraping to Machine Learning — plus the data library Pandas, statsmodels, Scikit-learn, and visualization with Seaborn. – Web Scraping & APIs: Next time you find a site with data you’d like to analyze, you’ll know how to pull it from a public API — or build a scraper to get it yourself if there isn’t one. – Machine Learning & Statistics: Learn the difference between a regression and a random forest, and know when and how to build both. – Databases & SQL: Build your own database — for player stats, opponent tendencies, whatever you like — and use SQL to get data in and out of it.
Genre: Non-Fiction > Tech & Devices
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