ML-01 · Beginner
Machine learning
Framing business problems as machine learning and solving them with scikit-learn: regression, classification, ensembles and clustering, evaluated the right way.
- Self-study hours
- 49
- Class hours
- 32 (15 at beginner depth)
- Lessons
- 14
- Free certifications
- 2
- Library resources
- 8
✓ All 14 lessons expert reviewed
What you will be able to do
- Frame a business problem as a machine learning problem, or decide it should not be one
- Build, compare and evaluate models with scikit-learn pipelines
- Explain a model's predictions and the business cost of its errors
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