Applied ML Foundations
An eight-week applied course covering data preparation, classical model families, and evaluation with scikit-learn. Each week combines a recorded lecture, a live walkthrough, and a Python practice notebook. Suits working adults with a basic Python background.
- 8 weeks, self-paced with weekly live sessions
- Python notebooks with scikit-learn throughout
- Small applied project at close of course
- Completion record on notebook submission