  Machine Learning systems have achieved outstanding performance in different
domains. In this paper machine learning methods have been applied to
classification task to classify music genre. The code shows how to extract
features from audio files and classify them using supervised learning into 2
genres namely classical and metal. Algorithms used are LogisticRegression, SVC
using different kernals (linear, sigmoid, rbf and poly), KNeighborsClassifier ,
RandomForestClassifier, DecisionTreeClassifier and GaussianNB.
