
A course that builds on the material covered in our Machine Learning with Tidymodels course. We take a look at how we can fit linear discriminant analysis (LDA) models using {discrim}, assessing model reliability using V-fold cross validation, pre-processing, tree-based models & much more. If you wish to explore the abundance of model fitting techniques {tidymodels} has to offer, then this course is certainly for you!
Price: | |
Venue Details: | |
Start Date: | |
Time: | |
Duration: |
By the end of the course participants will be able to…
It will be assumed that participants are familiar with R. For example inputting data, basic visualisation, basic data structures and use of functions. In addition, attendees should be familar with the concepts covered in our Machine Learning with Tidymodels course.