Validate and Explain Your ML Models Course
by Coursera
★ 7.6/10
Learn to validate and explain machine learning models using k-fold cross-validation, stratified sampling, and SHAP. Gain skills to communicate model decisions clearly.
Why this course
- Clear focus on practical validation techniques for real-world ML workflows
- Effective introduction to SHAP for model interpretability
- Teaches communication strategies for both technical and business audiences
- Uses realistic examples with imbalanced data scenarios
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