This course provides a foundational introduction to Machine Learning, focusing on the core distinction between supervised and unsupervised learning. You will explore technical fundamentals and navigate the complete modelling workflow, with a comprehensive deep dive into Linear Regression and Model Training. Using R and its specialised packages, you will gain hands-on experience processing real-world datasets to train and apply practical Machine Learning models.