Skip to main content
Ryan Orban

Ryan Orban

Subject
2 entries

Model Selection

Bookmarks

  1. Scikit-Learn: Model Validation and Testing (PyCon 2013 Notebook)

    Jake VanderPlas's PyCon 2013 notebook on model validation and testing in scikit-learn — covers train/test splits, cross-validation, and model selection in executable notebook form. A practical tutorial that shaped how Python practitioners learned to evaluate models.

  2. Why You Should Be Spot-Checking Algorithms on Your Machine Learning Problems

    Jason Brownlee's Machine Learning Mastery argument for spot-checking — trying 10-15 algorithms quickly on a new dataset before committing to tuning any single one. Saves time by letting the data tell you which algorithm families are worth investing in.

All bookmarks