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

machine-learning-fundamentals

Course Info:

Machine Learning Fundamentals

Beginner

The median completion time for this course is 7 hours.

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

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