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Final project for DATA144: Data Mining (UC Berkeley)

Predicting Song Suggestions Based on Track Metrics

  • Can we accurately predict suggested songs following a playlist, based on the characteristics of a song?
  • Being able to predict songs that have a similar "vibe" can boost creative input, as well as an eclectic music taste
  • Ability to "blend" any number of user's songs to recommend tracks that have the highest similarity across all user songs'.

Click presentation for more information on the project!

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Clustering model of Spotify Songs

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