https://github.com/tatevkaren/what-makes-playlist-successful
Product Data Science Case Study: What Makes a Playlist Successful. Use EDA (Exploratory Data Analysis) and Simple Machine Learning to identify the features related to the sucessful playlists.
https://github.com/tatevkaren/what-makes-playlist-successful
case-study data-visualization linear-regression machine-learning product-data-science python spotify
Last synced: about 1 month ago
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Product Data Science Case Study: What Makes a Playlist Successful. Use EDA (Exploratory Data Analysis) and Simple Machine Learning to identify the features related to the sucessful playlists.
- Host: GitHub
- URL: https://github.com/tatevkaren/what-makes-playlist-successful
- Owner: TatevKaren
- Created: 2022-04-18T17:15:12.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-03-05T01:33:23.000Z (about 2 years ago)
- Last Synced: 2023-03-05T19:43:18.220Z (about 2 years ago)
- Topics: case-study, data-visualization, linear-regression, machine-learning, product-data-science, python, spotify
- Language: Python
- Homepage:
- Size: 974 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0