Chapters

Structured routes through the curriculum, from first principles to end-to-end projects.

ML Fundamentals

Start here: what machine learning is and how it thinks.

8 of 8 lessons available

The Python you actually need for machine learning, no more, no less.

7 of 7 lessons available

Real data is messy. Learn to clean it, shape it and trust it.

8 of 8 lessons available

Learn from labeled examples: the algorithms behind prediction and classification.

12 of 12 lessons available

No labels, just structure: clustering and dimensionality reduction.

7 of 7 lessons available

From a single neuron to deep learning: how neural networks actually work.

7 of 7 lessons available

Learn by doing: how agents learn from reward and consequence.

6 of 6 lessons available

Put it all together: end-to-end projects using real data.

7 of 7 lessons available