Formula 1 (F1) Data Science & Machine Learning

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.