● Wrangled and transformed song dataset, and applied encoding and feature scaling to prepare data for modeling
● Developed a linear regression model to predict song popularity, offering insights to support data-driven decisions
● Applied PCA for dimensionality reduction, uncovering unusual trends and improving the interpretability of the data