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🏁 Race, Code, Repeat – Post-Australia GP Data Jam

The lights just went out in Australia — now it’s our turn to go green.

Join us for the very first Formula 1 (F1) Data Science & Machine Learning meetup, happening the Monday after the season-opening Grand Prix. We’ll take the chaos, strategy and storylines from the race weekend and turn them into real, buildable data.

This is a hands-on, low-ego, high-signal session where we’ll explore:

  • fresh race and lap-time datasets,
  • early-season performance trends,
  • and how raw F1 timing data becomes features, visualisations and ML-ready inputs.

No slides. No hype decks.

Just real race data, live notebooks and fast feedback.
We’ll be working from an open F1 dataset built specifically for this community — and showing how it plugs into modern analytics stacks and modelling workflows.
Whether you’re:

  • a data scientist,
  • an ML engineer,
  • a student,
  • or just dangerously curious about turning motorsport into machine learning…

this is your pit stop.
Come for the race talk.
Stay for the code.
Leave with a dataset and something you actually built.

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