Learn ML / Stage 3

3 · Machine learning

Classical machine learning and the statistical view of learning from data. Builds on stages 1 and 2.

By the end of this stage, you can…train and evaluate a regression and a classification model with scikit-learn, choose a sensible metric and validation split, explain overfitting and the bias-variance trade-off, and say when a simpler model is the better choice.

What you will learn

• Supervised learning Essential
• Unsupervised learning Essential
• Model evaluation Essential
• ML in practice Essential
• Probabilistic and Bayesian ML If you need it
• Causal inference If you need it
• Reinforcement learning If you need it
• Data science If you need it

Resources per subject