Skip to main content
HomeR
skill track

Machine Learning Fundamentals in R

Learn the basics of prediction using machine learning. This track covers predicting categorical and numeric responses via classification and regression, and discovering the hidden structure of datasets (unsupervised learning). Learn how to process data for modeling, how to train your models, how to visualize your models and assess their performance, and how to tune their parameters for better performance.

RClock24hrsLearn6 coursesTrophyStatement of Accomplishment

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies


1
Supervised Learning in R: Classification

In this course you will learn the basics of machine learning for classification.

4 hours

Brett Lantz Headshot

Brett Lantz

Senior Data Scientist at Sony PlayStation

Sparkles AI ASSISTANTSign up to use the AI AssistantOur AI assistant is free to use for all registered users. Sign up or login to access the assistant and boost your learning experience.
Discover
For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.
DataCamp for BusinessFor a bespoke solution book a demo.

Instructors

  • Brett Lantz Headshot
    Brett LantzSenior Data Scientist at Sony PlayStationSee Brett Lantz's Portfolio
  • Nina Zumel Headshot
  • John Mount Headshot
  • Hank Roark Headshot

FAQs

Join over 15,140,000 learners and start Machine Learning Fundamentals in R today!

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.