Spotify_Song_Recommender VS machine_learning_complete

Compare Spotify_Song_Recommender vs machine_learning_complete and see what are their differences.

Spotify_Song_Recommender

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. (by BobbyWilt)
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Spotify_Song_Recommender machine_learning_complete
3 2
28 4,507
- -
0.0 5.9
almost 2 years ago 7 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Spotify_Song_Recommender

Posts with mentions or reviews of Spotify_Song_Recommender. We have used some of these posts to build our list of alternatives and similar projects.

machine_learning_complete

Posts with mentions or reviews of machine_learning_complete. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Spotify_Song_Recommender and machine_learning_complete you can also consider the following projects:

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Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

artificial-intelligence - AI projects in python, mostly Jupyter notebooks.