Given a list of features from a song/music, classify it as any one of the target categories.
Language: python 3.x
Editor: google colab
Visualizations: matplotlib, seaborn
ML Library: scikit learn
A little observation reveals pretty straight forward float features and a couple of categorical values(note: these will need some kind of conversion to be used for training)
Time for some cool graphs!
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Drop insignificant columns like (any kind of id's or names)
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Check for null values/special characters that will need trasformation
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Preprocessing:
This is where we start building our classifiers which will be trained on this super clean data!
Its show time!! Check the code to find which classifier performed the best!