Course
Intro to Hyperparameter Tuning with Python
Improve machine learning models with hyperparameter tuning.
This course includes
This course includes
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary1 hourProjects
1Prerequisites
1 courseWe suggest you complete the following courses before you get started with Intro to Hyperparameter Tuning with Python:- Intro to Regularization with Python
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.
Skills you'll gain
Understand the role of hyperparameters
Improve model performance with tuning
Pick the best tuning method for a model
Syllabus
Intro to Hyperparameter Tuning with Python
Learn about hyperparameter tuning methods in machine learning.
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Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.