An unsupervised machine learning project that applies clustering algorithms to music listening data in order to segment users into distinct behavioral groups, enabling audience insight generation through feature analysis, pattern recognition, and cluster visualization.
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✔ Audience Segmentation
✔ Behavioral Pattern Clustering
✔ Feature Normalization
✔ Cluster Visualization
✔ Full Machine Learning Pipeline