MISSION 141

Hyperparameter Optimization

Vary the k value to improve performance.

Objectives

  • Learn how a model's hyperparameters affect the model's performance.
  • Learn how to use grid search to try different hyperparameter values.

Mission Outline

1. Recap
2. Hyperparameter optimization
3. Expanding grid search
4. Visualizing hyperparameter values
5. Varying features and hyperparameters
6. Practice the workflow
7. Next steps
8. Takeaways

Course Info:

Machine Learning Fundamentals

Beginner

The average completion time for this course is 10-hours.

This course requires a premium subscription. This course includes five paid missions and one guided project.  It is the 17th course in the Data Scientist in Python path.

START LEARNING FREE

Take a Look Inside

Share On Facebook
Share On Twitter
Share On Linkedin
Share On Reddit