Intro to Hyperparameter Tuning with Python
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Improve machine learning models with hyperparameter tuning.
About 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.
Notes on Prerequisites
We recommend that you complete Intro to Regularization with Python before completing this course.
Skills you’ll gain
Understand the role of hyperparameters
Improve model performance with tuning
Pick the best tuning method for a model
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