Carlos

Thought of recreating taste profile super personalized data first, used python to verify assumptions and algorithms used k means to cluster a user's songs, and performed PCA to plot the result The clusters weren't too defined, so used elbow method, and silhoutte coefficient to verify Overfitting, used correlation matrix to remove redundant features.