Machine Learning
How machines learn from data, explained through practical, visual examples across 50 mentor-led sessions.
What you'll experience over 50 sessions
Machine Learning introduces how computers learn patterns from data — without treating kids like they need a university math degree first. Across 50 sessions, we build intuition with visuals, experiments, and small predictors they can actually run.
Students learn what training means, why accuracy isn’t everything, and how overfitting sneaks in when a model “memorizes” instead of generalizes. Mentors keep ideas concrete: classify, predict, measure, improve.
Projects stay age-appropriate and exciting — from simple predictors to demos that make the invisible process of learning visible. The goal is literacy: understanding headlines about AI with a clearer mental model.
By the end, kids can explain ML in their own words and show a working demo that proves the idea.
Curious teens (and advanced middle-schoolers) ready for a deeper data/AI track after solid Python fundamentals.