Explore Machine Learning — AutoML Academy
🤖 Real scikit-learn & pandas (Pyodide)
🧩 Puzzle mini-projects
🎓 3 certificates
Level 1 · Beginner
Meet your first model — build a small DataFrame, train a LogisticRegression model, and make a prediction.
Not started
Level 2 · Intermediate
Unlocks after your Beginner certificate. Evaluating models, comparing algorithms, and working with bigger datasets.
🔒 Locked
Level 3 · Advanced
Unlocks after your Intermediate certificate. Automated model comparison and a final capstone project.
🔒 Locked
How this works
- Work through each week in order — every week teaches a concept through a real-world scenario, with a live editor to practise in.
- Pass the short quiz and complete the practice exercises to unlock the next week.
- Along the way you'll tackle puzzle-style mini projects that combine everything so far.
- Finish the final mini project to unlock your level certificate — and the next level.
🌱 Level 1 — Beginner: Meet Your First Model
What you'll build
Across this level you'll train real scikit-learn models — classifiers and regressors — split data fairly, encode categories, compare model types side by side, measure precision/recall, and chain it all into a Pipeline.
🌿 Level 2 — Intermediate: Evaluating Models
What you'll build
This level reuses Beginner's full curriculum — real scikit-learn classifiers and regressors, fair train/test splitting, category encoding, model comparison, precision/recall metrics, and a chained Pipeline.
🌳 Level 3 — Advanced: AutoML Capstone
What you'll build
This level reuses Beginner's full curriculum — real scikit-learn classifiers and regressors, fair train/test splitting, category encoding, model comparison, precision/recall metrics, and a chained Pipeline.