This course provides a practical introduction to the fundamentals of Machine Learning, focusing on the core distinction between regression and classification tasks. You will navigate the complete modelling workflow, from data preprocessing to model evaluation, using Python and the scikit-learn library. With an extensive deep dive into classification algorithms, you’ll gain hands-on experience training and applying models to real-world datasets, equipping you with the technical skills to build and deploy predictive solutions effectively.