Master the fundamentals of unsupervised machine learning with this comprehensive online course. Explore key techniques such as principal component analysis, k-means clustering, Gaussian mixture models, and kernel density estimation. Designed for students and postgraduates in computer science, applied physics, or materials science, the course emphasizes practical applications by teaching you how to train classification, regression, and clustering algorithms on unlabeled data.Delivered in English, the 30-hour program is self-paced, offering video and text materials alongside topic-specific tests. A basic understanding of mathematics, programming, and Python is required. Upon successful completion, participants earn a certificate with 1 ECTS credit. Offered by Kyiv Academic University as part of the BOOSTalent project, the course is free and entirely online.
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