D. Fundamentals of Machine Learning

The Machine Learning course is designed to provide learners with a foundational understanding of the principles and concepts of Machine Learning. Participants will explore the types of data used in Machine Learning, such as qualitative data (Nominal and Ordinal) and quantitative data, along with methods for data preparation and management for analysis.

The course also covers fundamental concepts and techniques for developing Machine Learning models, emphasizing both theoretical and practical learning. Students will practice creating and evaluating models using Supervised Learning and Unsupervised Learning through various projects and exercises, allowing them to apply their knowledge to solve real-world problems.

Additionally, the course includes training on popular tools and platforms in the Machine Learning field, such as Python and its libraries, enabling learners to effectively develop and refine their models.