This course offers a comprehensive introduction to Machine Learning using R, with a specialised focus on the classification techniques used to predict outcomes. You will explore the technical differences between core models, including Logistic Regression, Decision Trees, and Ensemble Learning; while mastering the end-to-end modelling workflow from data processing to model application. By working with real-world datasets and R’s powerful statistical packages, you’ll gain the practical skills needed to train, evaluate, and deploy effective predictive models.