Machine learning in R
- Open to
- Government analysts
- Training category
- Analytical, Data science
- Type of training
- Online
- Length
- 3 days
- Organiser
- Data Science Campus Faculty
- Provider
- Data Science Campus Faculty
- Location
- Online
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 Data.Science.Campus.Faculty@ons.gov.uk.
Contact
If you would like more information about this course, please email Data.Science.Campus.Faculty@ons.gov.uk.