Spotify Decision Tree Analysis

For my Spotify Decision Tree points project, I took a large-scale Spotify dataset and used a decision tree to figure out what makes a song danceable based on its audio features. By applying predictive analytics to attributes like valence, tempo, and acousticness, I achieved a consistent classification accuracy of 75%. This project provided valuable insight into how data science can be leveraged within the music industry to identify the specific technical characteristics that drive listener engagement.