Machine learning in R

Open to
Government analysts
Training category
Analytical, Data science
Type of training
3 days
Data Science Campus Faculty
Data Science Campus Faculty

The course introduces popular machine learning and statistical pattern recognition techniques used by industry and academia. It covers regression, classification, and cluster analyses.

Who this course is for

This course has been designed for beginners in the field of machine learning (ML). But, ML practitioners using Python, R or other platforms can also benefit from this course because it introduces the “mlr3” machine learning ecosystem. This  provides advanced machine learning tools for building, modifying, and deploying ML models in practical environments.

Learning outcomes

On this course you will learn:

  • how to describe the main machine learning concepts, with an emphasis on modelling and evaluation approaches
  • skills in developing machine learning models using mlr3 ecosystem
  • how to run machine learning experiments with pre-processing pipelines and relevant pre-processing operators
  • how to perform model optimisation through automated hyperparameter tuning in mlr3
  • how to run benchmarking experiments to identify the best model for a given data driven problem

How to book

Please use your Learning Hub account to access the course online. Alternatively, please email


If you would like more information about this course, please email 

Related courses

Introduction to R

Introduction to machine learning in Python