Course Description
This course introduces students to the fundamentals of machine learning using the Python® programming language. Designed for beginners with little or no experience in machine learning, the course covers essential concepts such as supervised and unsupervised learning, model evaluation, and data preparation. Students will use real-world datasets and Python tools to build, train, and test their own machine learning models. Emphasis is placed on hands-on learning through coding exercises, projects, and visual explanations rather than advanced mathematics.