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.

  • R
  • 16 hours
  • 4 courses
1
R Icon

Supervised Learning in R: Classification

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

4 hours
Brett Lantz

Data Scientist at the University of Michigan

3
R Icon

Unsupervised Learning in R

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

4 hours
Hank Roark

Senior Data Scientist, Boeing

Instructors

Brett Lantz

Data Scientist at the University of Michigan

John Mount

Co-founder, Principal Consultant at Win-Vector, LLC

Hank Roark

Senior Data Scientist, Boeing

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