About us
Where race pace meets neural nets.
This isn’t a fan club. It’s a build club.
We’re a community for people who want to turn Formula 1 into a real-world playground for data science, machine learning and modern analytics — from lap-time datasets and live telemetry, to performance modelling, simulation and AI-powered race insights.
We explore how raw timing feeds become clean datasets.
How per-second telemetry becomes features.
How models can explain, predict and eventually optimise performance.
Expect hands-on sessions, open datasets, real pipelines (BigQuery, Python, notebooks, open-source tools) and honest conversations about what actually works when you apply ML to a fast, messy, real-time sport.
If you’re into:
building with real data (not toy CSVs),
visualising performance like an F1 pit wall,
experimenting with models, not just talking about them,
you’ll fit right in.
Upcoming events
2
Bahrain Testing Re-cap | The race hasn’t started. The signals already have.
·OnlineOnlineJoin us for a sharp, data-led debrief of last week’s Bahrain testing — not the headlines, the data.
See testing data & stats on Kaggle
This is a short, virtual session where we’ll unpack where we'll unpack the latest of what's happened on track and early views on the 2026 car ahead of the second round of testing
We’ll walk through live stats and comparisons from my Kaggle F1 datasets and show how video, lap data and causal signals can be combined to move beyond punditry and into measurable performance insight.
This is not a fan recap.
It’s a conversation about how sport is becoming a real-time data surface.
What we’ll cover
- The biggest performance deltas from Bahrain testing
- Early race-pace and consistency signals
- Where drivers gained (and lost) time — corner by corner
- A live walkthrough of the Kaggle datasets powering the analysis
- Open discussion on what this means for teams, fans and media
Format
Virtual — Google HangoutAudience
F1 fans, data scientists, product builders, engineers and anyone curious about the future of sport, data and media.1 attendee
Group links
Organizers
Members
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