GitHub - yamanahmet/Music-Recommendation-and-Classification-System: In this study, the music genre classification system is obtained with machine learning methods. In this context, by using digital signal processing techniques, features were extracted from the audio files in the GTZAN dataset using timefrequency analysis methods and used in classification methods. The results were compared using dimension reduction and feature selection methods.

Music Recommendation and Classification System Using Acoustic Properties

Libraries that need to be downloaded for the project to work: librosa, numpy, pandas, pathlib, scipy, sklearn, tqdm, matplotlib, Ipython, statsmodels, ipynb
In order for the codes to work, the dataset must be put in the folder with the code files, with the name "data_gtzan".
Excel files where separate operations are performed on the files, and for later use after feature extraction because it is formed and excel files for later use after feature extraction because it occurs, file "feature_extraction" must be run first.