Classical Machine Learning: A Practical Guide Using Python

The field of Artificial Intelligence (AI) has rapidly transformed in recent years, with Machine Learning being now one of its most impactful and widely applied branches.From intelligent recommendation systems to self-driving cars, and from language translation to medical diagnosis, Machine Learning now touches nearly every aspect of modern life.Yet, for those beginning their journey into AI, the field can feel daunting-particularly with the increasing complexity of deep learning and generative models.In the midst of this fast-paced evolution, it is easy to overlook the foundational ideas that make these breakthroughs possible. This book is written to bridge this gap and was born from the belief that a solid understanding of classical machine learning is not just helpful, but essential for truly grasping the advanced and modern models shaping today’s AI landscape.The authors’ goal is to explain classical models clearly and intuitively, while also providing hands-on Python implementation