This course provides a theoretical and practical introduction to the use of machine learning on biological datasets. For the final section of the course we will introduce the tidymodels framework for machine learning in R, so it will be helpful to have attended our introductory and advanced R courses, or to have had equivalent experience, although this is not a prerequisite to attend the course.
Number of course hours : 8
Level: Beginners
Topics Covered:
Course Content:
- What is machine learning?
- Different types of machine learning model
- Evaluating models
- Preparing input data
- Running simple models in tidymodels
- Automation with recipes and worklows