Workshop / Overview
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 excellent caret R package.
This workshop will be adapted from our typical 2-day course on ML with R. Feel free to explore our open materials on The R Bootcamp website, and specifically our previous R Bootcamp program.
To be checked before the workshop:
Workshop slides and materials
Workshop installation instructions
Workshop / Outcome
Learn to implement the complete machine learning pipeline (pre-processing, fitting, tuning, evaluation) using R to solve applied regression and classification problems.
Workshop / Difficulty
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 with with R, Rstudio, and packages tidyverse and caret installed
Track / Co-organizers
A Conceptual Introduction to Reinforcement Learning
With Kevin Smeyers, Katrien Van Meulder & Bram Vandendriessche09:00-12:30 January 251ABC
Augmenting the Web browsing experience using machine learning
With Oleksandr Paraska, Vasily Kuznetsov, Tudor Avram & Levan Tsinadze09:00-12:30 January 253A