We train a classifier to distinguish between the two genres based only on track information derived from Echonest (now part of Spotify). Leveraging the scikit-learn
package we predict whether we can correctly classify a song's genre based on features such as danceability, energy, acousticness, tempo, etc. This project also implementations common algorithms such as PCA, logistic regression, and decision trees.
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Applications of machine learning methods in Python to classify songs into genres.