| ucalyptus/Spotify-Recommendation-Engine |
161 |
|
0 |
0 |
over 3 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| Music Recommender System |
| cristobalvch/Spotify-Machine-Learning |
50 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| A cool way to create your own Playlists on Spotify Clustering tracks with K-means Algorithm |
| juandes/spotify-audio-features-data-experiment |
41 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
R |
| Using Spotify’s audio features API, data, and machine learning, I investigated how boring my saved songs are. |
| jim-schwoebel/nala |
30 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| 🦁 Nala is an agile open-source voice assistant framework (20+ actions). |
| BobbyWilt/Spotify_Song_Recommender |
24 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
mit |
Jupyter 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. |
| Soneji/spotify-vibe-check |
24 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
gpl-3.0 |
|
| Spotify Vibe Checker Web App to vibe check your Spotify Playlists! |
| juandes/audio-features-unsupervised-learning |
21 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Jupyter 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 |
| alagoa/youtube-or-pornhub |
19 |
|
0 |
0 |
almost 7 years ago |
0 |
|
4 |
gpl-3.0 |
Python |
| Service identification on ciphered traffic. |
| siddgood/billboard-hit-prediction |
14 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| :notes: Predicting Billboard's Year-End Hot 100 Songs using audio features from Spotify and lyrics from Musixmatch |
| ahipolito94/Spotify-Analysis |
11 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Analyzing and Predicting Songs |
