Free
Course

Machine Learning: Logistic Regression

Predict the probability that a datapoint belongs to a given class with Logistic Regression.

4.06 out of 5 stars
1,396 learners enrolled
  • Skill level

    Beginner
  • Time to complete

    3 hours
  • Certificate of completion

    Included with paid plans
  • Prerequisites

    None

About this course

Continue your Machine Learning learning journey with Machine Learning: Logistic Regression. Learn how to implement and evaluate Logistic Regression models, and interpret the probabilities it returns. Use these skills to predict the class of new data points.

Skills you'll gain

  • Prepare data for a Logistic Regression model

  • Implement and assess Logistic Regression models

  • Solve problems like disease identification and customer conversion

Syllabus

2 lessons • 2 projects • 2 quizzes

The platform

Hands-on learning

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Machine Learning: Logistic Regression course ratings and reviews

4.06 out of 5 stars
152 ratings
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  5. 1 star
  • The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
    Chris
    Codecademy Learner @ USA
  • I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
    Rodrigo
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

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Join over 50 million learners and start Machine Learning: Logistic Regression today!

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Unlock additional features with a paid plan

  • 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.