Course
Intro to Regularization with Python
Improve machine learning performance with regularization.
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 vary2 hoursProjects
1Prerequisites
1 courseWe suggest you complete the following courses before you get started with Intro to Regularization with Python:- Machine Learning: Logistic Regression
About this course
Machine learning models need to perform well not only on their training data, but also on new data. In this course, you will learn how to use regularization to improve performance on new data. You will learn the most common techniques for regularization, how they work, and how to apply them.
Skills you'll gain
Minimize overfitting
Apply ridge and lasso regularization
Understand the bias-variance tradeoff
Syllabus
Intro to Regularization
Learn about regularization and how to implement it in Python.
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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.