Thomas-George-T/Prediciting-Hits-on-Spotify
Predicting hit songs on Spotify by classifying 40,000 songs using Machine Learning
This project helps music industry professionals or artists analyze songs from 1960 to 2019 to predict if a new track might become a 'hit' on Spotify. By inputting various audio features of a song, it determines whether the song is likely to be a success or not. This is useful for anyone involved in music production, artist management, or A&R looking to understand what makes a song popular.
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Use this if you need to quickly assess the hit potential of a song based on its musical characteristics, helping you make informed decisions in the music industry.
Not ideal if you're looking for real-time predictions for currently trending songs or a tool that incorporates non-audio features like marketing spend or artist fame.
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Jupyter Notebook
License
MIT
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Last pushed
Jun 29, 2022
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