This course aims to provide a comprehensive understanding of supervised machine learning along with the mathematical concepts behind different processes. The course will delve into the mathematical principles underpinning various supervised learning algorithms, ensuring that students gain both theoretical knowledge and practical skills. Students will learn how to design, implement, and evaluate supervised learning models to solve real-world using Python.