Analyzing Spotify Track Popularity Using Python

Explores the intricacies of Spotify's music data using Python, analyzing 232,725 tracks to understand the relationship between audio features (danceability, energy, acousticness) and popularity. The project involves data cleaning, correlation analysis, and regression modeling, revealing insights into what makes a track popular on Spotify. Code and details available on GitHub.