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https://github.com/salman-khan-mohammed/music-album-popularity-prediction
"Music Album Popularity Prediction" is a project focused on building a model to forecast the success of music albums. By analyzing streaming data, social media engagement, and other relevant factors, the project aims to predict the popularity of albums across various genres and artists.
https://github.com/salman-khan-mohammed/music-album-popularity-prediction
data-visualization eda machine-learning outlier outlier-detection outlier-treatment
Last synced: about 2 months ago
JSON representation
"Music Album Popularity Prediction" is a project focused on building a model to forecast the success of music albums. By analyzing streaming data, social media engagement, and other relevant factors, the project aims to predict the popularity of albums across various genres and artists.
- Host: GitHub
- URL: https://github.com/salman-khan-mohammed/music-album-popularity-prediction
- Owner: Salman-Khan-Mohammed
- Created: 2023-12-09T07:01:34.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2024-05-14T06:48:53.000Z (9 months ago)
- Last Synced: 2024-05-15T05:28:10.138Z (9 months ago)
- Topics: data-visualization, eda, machine-learning, outlier, outlier-detection, outlier-treatment
- Language: Jupyter Notebook
- Homepage:
- Size: 53.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files: