Skip to content

Utilized machine learning algorithms (Random Forests, KNN, MLR, etc) to predict how likely a song would be a top hit.

License

Notifications You must be signed in to change notification settings

alecng27/Hit_Song_Prediction_Algorithm

Repository files navigation

Hit Song Prediction Algorithm

This project utilized eight different machine learning algorithms to predict how likely a song would be popular, a top hit. Being able to identify the elements that contribute to making a song popular could be beneficial to the music industry. The implications of this project to the music industry could be crucial moving forward.

https://alecng27.github.io/Hit_Song_Prediction_Algorithm/home

See the LICENSE file for license rights and limitations.

About

Utilized machine learning algorithms (Random Forests, KNN, MLR, etc) to predict how likely a song would be a top hit.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published