https://github.com/fusi3/machine_learning_coursework

Predicting song popularity through Logistic Regression and Random Forests implemented though MATLAB
https://github.com/fusi3/machine_learning_coursework

logistic-regression matlab random-forest spotify

Last synced: 9 months ago
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Predicting song popularity through Logistic Regression and Random Forests implemented though MATLAB

• Host: GitHub
• URL: https://github.com/fusi3/machine_learning_coursework
• Owner: fusi3
• Created: 2024-07-12T16:07:41.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-07-12T20:23:37.000Z (over 1 year ago)
• Last Synced: 2024-10-06T04:04:51.996Z (about 1 year ago)
• Topics: logistic-regression, matlab, random-forest, spotify
• Language: MATLAB
• Homepage:
• Size: 641 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# machine_learning_coursework

Logistic Regression and Random Forests were used to classify songs from Spotify as to whether they were popular or not. Originally my own personal library was planned to be used but Spotify's API limitiations were not allowing me to scrape all my data efficiently and so a freely available dataset was used instead. 

ALl results and analysis have also been uploaded. You may not be able to run the notebooks as the data was not uploaded given its size, but the notebooks can results can still be viewed.