Supervised Machine Learning

This course provides a foundational understanding of how a machine learning model works, with a particular focus on Supervised Learning. To start, we focus on theoretical notions and practical tools for Exploratory Data Analysis as well as different types of data and data formats. After that, the main steps of a general ML pipeline are introduced. Finally, the main ML models in the field of Supervised Learning are discussed in detail, with half day dedicated to model evaluation and model hyper-parameter tuning.