EEE485 Statistical Learning and Data Analysis

The project implementation for EEE485 course, Bilkent University.

Music Genre Classification using Spotify API metrics

• @emredonmez98
• Used Spotify Tracks DB dataset.
• Removed severely underrepresented classes, and shaved the samples sizes to make the equal in size and normalized data in preprocessing.
• Used different features of the data since we have used a dataset with both categorical and numerical features.
• The discussed techniques are applied from scratch, without using any ML/DL framework.
• Implemented in Python (Jupyter Notebook)
• Used techniques are
  • kNN
  • Random Forest and
  • Multilayered Perceptron (MLP) / Feed-Forward Neural Network
    • Varying Number of layers and neurons
    • SGD, Momentum, Adam and AMSGrad Optimizers
    • Glorot and He Initializations
    • Cross Entropy and Mean Squared Error Losses
    • Sigmoid and ReLU activations
  • Repeated the experiments using PCA features and compared.