Workshop Catalogue

Fundamentals of Classification in Machine Learning

Explore key concepts in classification, including logistic regression, support vector machines (SVM), and neural networks, through hands-on exercises in Python.

Introduction to Image Classification

Learn how you can use machine learning to automatically identify and characterise images.

Exploring and Predicting Using Linear Regression in R

Discover how to build a better understanding of the statistical relationships within your data

Fundamentals of Regression in Machine Learning

Learn the core concepts of regression, including simple and multiple linear regression, regularisation techniques and model evaluation.

Decision Trees and Ensemble Methods in Machine Learning

Learn the theory behind decision trees, including how they split data, handle overfitting, and work with both classification and regression problems.

Data Capture and Management with REDCap

Our series of modular REDCap training workshops.

Clustering and Unsupervised Methods in Machine Learning

Discover unsupervised machine learning methods, including k-means, hierarchical, and density-based clustering, along with dimensionality reduction techniques.

Introduction to Unix

This workshop will help you get started with using Unix and the command line interface.

Statistical Comparisons Using SPSS

A guide to basic hypothesis testing. Learn about correlation, categorical and continuous data, and comparisons between groups.