Projects / Spotify Taste Profiler

About Spotify Taste Profiler

A machine learning–powered data science project that analyzes your Spotify listening history to uncover hidden patterns in your music taste. Using K-means clustering and the Spotify Web API, it groups your favorite tracks into distinct “music personalities,” revealing insights about genre preferences, artist loyalty, and listening trends.

Skills and Technologies

PythonSpotify APIpandasNumPyscikit-learnMatplotlibseaborn

Links

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