Dive into the fundamentals of supervised learning with a comprehensive exploration of key algorithms. Begin with a friendly introduction to Linear Regression, understanding its principles and applications. Progress to Logistic Regression and the Perceptron Algorithm, gaining insights into their functionality and use cases. Conclude with an accessible overview of Support Vector Machines (SVMs), learning about their powerful classification capabilities. This 1-hour 30-minute tutorial equips you with essential knowledge in supervised learning techniques, providing a solid foundation for further study in machine learning.