Workshop / Overview

This workshop will be held online.

The workshop will consist of brief presentations followed by live demonstrations and hands-on exercises focusing on applied problems from medicine, education and business. The presented code and exercises will draw mostly on the new tidymodels framework.

This workshop is a short form of our typical 2-day course on ML with R. Feel free to explore our open materials on The R Bootcamp website and our program from our previous course at the AMLD.

Workshop / Outcome

Learn to implement the full machine learning pipeline (pre-processing, fitting, tuning, evaluation) using R to solve applied regression and classification problems. 

Workshop / Difficulty

Beginner level

Workshop / Prerequisites

There are no strict knowledge prerequisites for this course

Prior experience with a programming language (e.g., R, Python), as well as basic knowledge of statistics, is helpful but not necessary. 

Own laptop/computer with with R, Rstudio, and a list of packages installed. Detailed installation instructions will be provided.

Track / Co-organizers

Markus Steiner

Instructor, The R Bootcamp

Dirk Wulff

Founder, The R Bootcamp & Researcher, University of Basel

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AMLD / Global partners