Introduction to machine learning with {tidymodels}

A course covering random forests, support vector machines, and LASSO regression and how to implement them in {tidymodels}. Suitable for those with some experience of R and statistics.

Learning outcomes:

• Be able to use some common machine learning techniques such as Lasso regression, random forests and support vector machines.
• Fit these models in R using {tidymodels}.
• Understand common concepts of machine learning such as cross-validation, hyperparameter tuning and model evaluation.

Pre-requisites:

• Familiarity with some statistical concepts such as correlation, variability, and simple linear regression.
• Being reasonably comfortable with data wrangling using {dplyr} and {tidyr}.

Time: 2 hours

Course website: nrennie.rbind.io/training-intro-to-tidymodels