Christos Frantzidis

My lessons are interactive, structured and tailored to each student’s goals, experience and preferred learning style. Rather than relying on one-way lectures, I combine clear explanations with practical examples, guided exercises, discussion and hands-on problem-solving. Each lesson normally begins with a brief review of previous material, followed by the introduction of new concepts, practical application and a final summary to reinforce the key learning points.

I teach subjects including Python programming, data science, machine learning, artificial intelligence, computer vision, research methods and academic writing. I place particular emphasis on helping students understand not only how a method works, but also why it is used, when it is appropriate and what its limitations are. Where relevant, we work with realistic datasets, research papers, coding projects and industry-inspired case studies so that students can connect theory with genuine applications.

As a Senior Lecturer in Computer Science specialising in machine learning, I have extensive experience teaching students with different academic backgrounds and levels of technical confidence. I understand that complex topics can initially feel intimidating, so I explain them step by step, using accessible language without sacrificing technical depth. I encourage questions and create a supportive environment in which mistakes are treated as an essential part of learning.

My lessons can support complete beginners, university students, researchers and professionals who want to strengthen their technical or analytical skills. Whether you are preparing for an assessment, developing a research project, learning to code or advancing your career, we will build a clear and personalised learning plan together.