Statistical Learning is a field that combines statistics and machine learning to understand and predict patterns in data. It involves using mathematical models to analyze data sets, helping us make informed decisions based on the information we gather. This approach is widely used in various areas, such as finance, healthcare, and marketing, to uncover insights and trends. At its core, Statistical Learning focuses on two main tasks: supervised learning and unsupervised learning. In supervised learning, we train models using labeled data to predict outcomes, while unsupervised learning helps us find hidden structures in unlabeled data. Together, these techniques enable us to extract valuable knowledge from complex data sets.