Cross Validation Methodology Teaching

via “model evaluation and validation with cross-validation and performance metrics”

robust introduction to the subject and also the foundation for a Data Analyst “nanodegree” certification sponsored by Facebook and MongoDB.

Unique: Treats evaluation as a first-class concern with emphasis on avoiding common pitfalls (data leakage, metric mismatches) rather than an afterthought, using scikit-learn's cross-validation utilities to enforce proper methodology

vs others: More rigorous than ad-hoc evaluation in tutorials; more practical than academic treatments of statistical testing; less comprehensive than specialized model evaluation courses