Improve machine learning models with hyperparameter tuning.
Hyperparameters are values that can be adjusted to improve a Machine Learning model. In this course, you will learn industry standard techniques for hyperparameter tuning, including Grid Search, Random Search, Bayesian Optimization, and Genetic Algorithms.
* Understand the role of hyperparameters
* Improve model performance with tuning
* Pick the best tuning method for a model
### Notes on Prerequisites
We recommend that you complete [Intro to Regularization with Python](https://codecademy.com/learn/intro-to-regularization-with-python) before completing this course.
Hyperparameters are values that can be adjusted to improve a Machine Learning model. In this course, you will learn industry standard techniques for hyperparameter tuning, including Grid Search, Random Search, Bayesian Optimization, and Genetic Algorithms.
* Understand the role of hyperparameters
* Improve model performance with tuning
* Pick the best tuning method for a model
### Notes on Prerequisites
We recommend that you complete [Intro to Regularization with Python](https://codecademy.com/learn/intro-to-regularization-with-python) before completing this course.
