- Exploits statistical hypothesis tests to examine relationships between song features and their popularity
- Principal Component Analysis (PCA), K-Fold Cross Validation, Random Search hyperparameter tuning
- Develops a machine learning model to predict whether a song will be hit or not by using KNN, Random Forest
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