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ML04 · Model Development and Evaluation in Practice

A free, illustrated L2 course of 10 modules in the Machine Learning track. Modules include: Problem framing and baselines; Feature engineering; Leakage and sound validation.

ML04 L2 · Intermediate 10 modules · about 40 lessons Planned · Ring 3

Part of the Machine Learning track. Ships in Ring 3 (Breadth) of the roadmap.

Modules

Problem framing and baselines
Feature engineering
Leakage and sound validation
Cross-validation designs
Hyperparameter optimization
Imbalanced data
Calibration and thresholds
Error analysis
Interpreting models: importance, partial dependence, SHAP
Reporting results

Signature illustrations

The pictures a learner should still see in their head a year later:

Leakage timelines, fold layouts for standard, grouped and time-series validation, calibration curves, grid versus random versus Bayesian search.

Status

This course is planned, not written yet. It ships with Ring 3 (Breadth).

Every lesson will follow the same twelve-part blueprint with at least three purpose-made figures. Watch the repository to hear when modules ship, or help write and review it.