This course covers core technologies in the field of data science, including data preprocessing, classification, clustering, recommender systems, and ensemble learning. It emphasizes finding the balance between the breadth, depth, and interest of knowledge. The course combines theory and practice. The lectures will be complemented by practical tasks using Python and scikit-learn.
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