Year 1 — Semester 1 & 2
Foundations & Classical ML
Python (vectorisation, broadcasting), linear algebra, statistics, data pipelines, classical ML algorithms, and your first neural network — every line explained.
Python & NumPy — the two-language solution
Linear Algebra — visual and mathematical
Data Pipeline — live API calls (3 sources)
ML Fundamentals — gradient descent unpacked
Decision Trees, SVMs, Clustering
First Neural Network — every choice explained
12 weeks · 14 lessons · 10 projects