Skip to content
 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

spotify-recommender

This project builds a Spotify song recommendation and clustering system using audio features from a Spotify tracks dataset. Given a reference song, the system recommends similar songs based on feature similarity. We also use clustering to analyze broader groupings in the dataset.

Methods Implemented

  • vector similarity for recommendation
  • K-means clustering
  • PCA visualization

Setup

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

About

Ritsuka's data prep and knn work

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages