The aim of this project was to built a simple network for classifying musical works of three composers based on basic features hidden on music sheets.
The repository consist of three pdf files with sampled music sheet from each composer.
There is also a "data_collecting.py" file used to create three .csv files with the data ready to be analised.
The main file is the "music.ipynb" file, in which I preprocess the data and experiment with classification models.
Project was created with Python 3.8.
The library used to collect the data about works of those composers was "music21".