Hacking My Pandora Data With Unsupervised Learning

This is a two-part series about using machine learning to hack my taste in music. In this first piece, I applied unsupervised learning techniques and tools on Pandora data to analyze songs that I like. The second part, which will be published soon, is about using supervised on Spotify data to predict whether or not I will like a song. If you take a look at my top tracks on Last.FM, you'll notice a smorgasbord of tracks from artists like LCD Soundsytem, Jimi Hendrix, and Kanye West. When I make a playlist, it's not uncommon for me to include some 80's post-disco, 2000s indie rock, and Nigerian or Turkish funk.