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Data Science Course Projects · HKUST(GZ)

Graduate exercises in data mining, statistical learning, and data-science computing.

Code
Colored data clusters, a matrix plane, and a branching tree
Concept illustration of statistical learning and data analysis.

Overview

A collection of graduate course experiments in Data Science and Analytics at HKUST(GZ), including DSAA5002, DSAA5020, DSAA5021, and DSAA6100 material.

Topics include association-rule mining, supervised learning, clustering, linear regression, model explanations, web scraping, and distributed computing. The larger news-analysis, forecasting, and MovieLens projects have their own entries in this portfolio.

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