Master hyperparameter tuning and cross-validation techniques to optimize the performance of your machine learning models. Learn how to perform grid search, random search, and various cross-validation methods.
Overview
Syllabus
- Lesson 1: Cross-Validation in Machine Learning
- Lesson 2: Grid Search: Finding Optimal Model Parameters
- Lesson 3: Random Search in Machine Learning
- Lesson 4: Hyperparameter Tuning for Ensembles
