This project aims at comparing traditional methods of music recommendation with a hybrid approach. We combine content based methods with model based collaborative filtering techniques to come up with a good recommendation algorithm.

#Link to the Million Song Dataset http://labrosa.ee.columbia.edu/millionsong/

#Link to the Million Song Python Library https://github.com/tbertinmahieux/MSongsDB/tree/master/PythonSrc

#Link to Python HDF5 library https://github.com/h5py/h5py

#Data for the visualization is generated as per user request and loaded into the data folder