NHS-R Workshop: Introduction to machine learning with {tidymodels} 22 May 2024

  • Wednesday 22 May 2024 with Nicola Rennie
  • 09:30am until 11:30am (UK time)

Course Description:

Machine learning (ML) is an important aspect of data science that can be used to create predictions, make classifications, and uncover insights in data that can be difficult to detect. {tidymodels} is a collection of R packages that can be used for various aspects of machine learning pipelines, including sampling data, building and fitting models, and performance evaluation. The {tidymodels} framework provides a consistent, user-friendly approach to fitting machine learning models in R.

This interactive workshop will introduce some common machine learning techniques such as Lasso regression, random forests and support vector machines, and demonstrate how to fit these models in R using {tidymodels}. We’ll also cover some of the common concepts of machine learning such as cross-validation, hyperparameter tuning and model evaluation.

No previous knowledge of machine learning is required for this workshop, though familiarity with some statistical concepts such as correlation, variability, and simple linear regression may be helpful. Being reasonably comfortable with data wrangling using {dplyr} and {tidyr} would be beneficial to attendees.


Please register via the Sign up link in the right panel.
You will need to register as a member of the NHS-R Community to register for NHS-R Events.

You will receive a confirmation email, further workshop information including the calendar invite with the Zoom link to join the workshop will be sent out to you nearer the date.

Please note:┬áThis course is limited to Core members – details are in the NHSR Way book.

For further information, please contact: nhs.rcommunity@nhs.net

Event Speakers

Nicola Rennie

Lecturer in Health Data Science

Nicola Rennie is a Lecturer in Health Data Science based within the Centre for Health Informatics, Computing, and Statistics at Lancaster Medical School.
Her research interests include applications of statistics and machine learning to healthcare and medicine, communicating data through visualisation, and understanding how we teach statistical concepts.
Nicola also has experience in data science consultancy, and collaborates closely with external research partners. She can often be found at data science meetups, presenting at conferences, and is the R-Ladies Lancaster chapter organiser.

Event Type


Event Date

May 22, 2024

Event Time

9:30 am - 11:30 pm

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