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Regression + cross-validation

Spotify Popularity Prediction

Used audio-feature data to model song popularity and translate statistical results into business-readable recommendations.

PythonRegressionCross ValidationFeature AnalysisEDA

Spotify Popularity Prediction

Regression + cross-validation

What this proves

  • Problem: needed to understand which measurable audio features aligned with song popularity rather than relying on intuition.
  • Method: applied regression, correlation analysis, outlier handling, and cross-validation-oriented evaluation to a Spotify feature dataset.
  • Outcome: produced an interpretable modeling case study that showed which features mattered most without overstating the predictive claim.

Live proof surface

The strongest public artifact for this project is the recorded walkthrough. The final written report is not currently published in the portfolio, so this page stays disciplined and only surfaces what is actually available.