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Uncovering differences between genres of music based on acoustic attributes & deriving a model for popularity.

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Spotify-Tracks-Insights

Topic

  • What are the most popular genres of music?
  • How wildly do pieces/songs vary among different attributes?
  • Can we presume a correlation between the major mode and emotional positiveness?
  • What characteristics bode popularity for a song?

Methodology

All these questions are examined within this notebook using Python:

  • Data acquisition, cleaning, and wrangling using NumPy & Pandas
  • Data visualization using Matplotlib & Seaborn
  • Regularized regression modeling using Scikit-learn
    • Lasso Regression (L1 Regularization)
    • Ridge Regression (L2 Regularization)

Author(s)

  • Aaron Tang - Start to finish

License

This project is licensed under the MIT License - see the LICENSE file for details

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Uncovering differences between genres of music based on acoustic attributes & deriving a model for popularity.

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