Spotify Api

Introducing "spotify-recommender-api", a pip package that uses an adaptation of the KNN algorithm to make personalized song recommendations for users. It analyzes your Spotify listening stats and suggests new tracks you may enjoy, and also clusters similar songs on a big playlist in order to help one find songs that play well in a smaller playlist
Alternatives To Spotify Api
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Spotify Recommendation Engine161
2 years ago3mitJupyter Notebook
Music Recommender System
Spotify Machine Learning50
a year ago1Jupyter Notebook
A cool way to create your own Playlists on Spotify Clustering tracks with K-means Algorithm
Spotify Audio Features Data Experiment41
7 years agoR
Using Spotify’s audio features API, data, and machine learning, I investigated how boring my saved songs are.
Nala30
10 months ago5apache-2.0Python
🦁 Nala is an agile open-source voice assistant framework (20+ actions).
Spotify_song_recommender24
2 years agomitJupyter Notebook
This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
Spotify Vibe Check24
3 years ago1gpl-3.0
Spotify Vibe Checker Web App to vibe check your Spotify Playlists!
Audio Features Unsupervised Learning21
7 years agoJupyter Notebook
In this project I clustered my Spotify music using its audio features with the goal of finding similar music in each of the clusters
Youtube Or Pornhub19
5 years ago4gpl-3.0Python
Service identification on ciphered traffic.
Billboard Hit Prediction14
7 months agomitJupyter Notebook
:notes: Predicting Billboard's Year-End Hot 100 Songs using audio features from Spotify and lyrics from Musixmatch
Spotify Analysis11
7 years agoJupyter Notebook
Analyzing and Predicting Songs
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Python
Machine Learning
Spotify
Recommendation System
Supervised Learning