Creating Spotify Playlists with Unsupervised Learning

Creating Spotify Playlists with Unsupervised Learning

Creating Spotify Playlists with Unsupervised Learning. A Practical Application of Clustering in Creating Recommendations.

Spotify presents no shortage of playlists to offer. On my home page right now, I see playlists for: Rap Caviar, Hot Country, Pump Pop, and many others that span all sorts of musical textures.

While many users enjoy going through songs and creating their own playlists based on their own tastes, I wanted to do something different. I used an unsupervised learning technique to find closely related music and create its own playlists.

The algorithm doesn’t need to classify every song nor does every playlist need to be perfect. Instead, it only needs to produce suggestions I can vet and creatively name, saving me the time of researching songs across different genres.

machine-learning data-science spotify clustering unsupervised-learning

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