Multi label classification of Spotify music
Multilabel classification of music genre using machine learning and deep learning algorithms. Three different models are trained on processed data. Deep neural network seems to outperform randomforest classifier and logistic regression with chain mechanism. The overall test accuracy of DNN is 48% whereas test accuracy is 93%. Precision and recall is more than 65%.
Spotify data providing musical features for genre classification. Collected from Kaggle
Contains scripts for running models and getting results
Power point deck for describing the project
Sai Munikoti