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This repository contains business-related data analytics projects using Excel, Python, Tableau, and StatPlus. The projects cover tasks like survey data analysis, brochure demand forecasting, and movie data visualization, showcasing data processing, analysis, and visualization techniques.
This project focuses on analyzing movie ratings data using matrix factorization techniques and clustering algorithms. The goal is to identify meaningful segments of users and movies, and to evaluate the clustering results through various metrics. We apply both hierarchical and K-means clustering methods.