This project aims the analysis of song metadata from Spotify. It consists of 13 attributes and a class label shown as target. Different algorithms are used including KNN, SVM, Decision tree, Random Forest etc. Moreover to get a better accuracy factor oversampling, under sampling and PCA analysis was also used. The graphs show the relation between different attributes.
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Divyadmenon098/Spotify_music_analysis-ML-
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