Football data tutorials, tools & content at https://xitter.cf/t.co/7Z2J6gI85b
Joined December 2017
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Integrating language models into your projects is (probably) far easier and cheaper than you think. Learn how with our Intro to the ChatGPT API - full tutorial and code in the link below 👇
fcpython.com/blog/introducti…
With the World Cup kicking off tomorrow, really cool analysis from @TwoCircles on how big games in larger stadiums drive visibility and fandom in WSL and Frauen Bundesliga. Substance and data in the full report is well worth a read: twocircles.com/gb-en/article…
We built an AI football shirt generator that learned from the kits on Classic Football Shirts!
It designed plenty of strong hall of shame contenders...
Check out some of tomorrow's classics here: fcpython.com/blog/can-machin…
Dataset contains plenty of useful information, not just FPL metrics.
Full list below, but even with only minutes, goals, xG, team and player images you can do loads of fun stuff.
ALT List of columns in the FPL dataset
🚨📽️ New tutorial! An introduction to animated visualisations in #Python. Learn how to bring your data to life with an easy-to-follow example.
Full data and code here 👉 fcpython.com/visualisation/c… #100DaysOfCode
Can machine learning design a football kit? 🤖👕
We took a run at building a dataset and model that teaches itself to build shirts from scratch. Process & results below 👇
fcpython.com/blog/can-machin…
🚨🖼️ New tutorial! Introduction to procedurally generated images in #Python!
Learn how a computer reads images and how we can create our own pixel footballers from scratch
fcpython.com/blog/introducti…
#100DaysOfCode #CodeNewbie
#30DayMapChallenge 2021 Day 3: Polygons
Looking at where teams are built out of, each shaded area covers the countries represented by a given team.
Eintracht Frankfurt had the widest spread that we had seen, while Watford & Lille cover the most unique countries (19).
