Free
Course

How to Choose a Linear Regression Model

Learn about the differences between different regression models and how to decide which one to use.

  • Skill level

    Intermediate
  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    1 hour
  • Certificate of completion

    Included with paid plans
  • Prerequisites

    None

About this course

While it is can be easy to make a model, the real science comes in choosing which model best fits your problem, and tuning your model to be just right. This course is an introduction to tools, techniques, and best practices for choosing a linear regression model and how to report your choices.

Syllabus

The platform

Hands-on learning

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Meet the creator of the course
Kenny Lin
Web Development Domain Manager at Codecademy
Kenny is the Domain Manager for the Web Development Domain at Codecademy. He contributed to a wide range of courses and paths at Codecademy, including JavaScript, Bootstrap, Handlebars, Phaser.js, Go, Swift, TypeScript, and Lua.

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Frequently asked questions about How to Choose a Linear Regression Model

  • A linear regression model is a type of predictive model we use to understand and illustrate data and the relationships within them.

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