This project aims to classify music tracks into different genres using machine learning techniques. The classification model is trained on audio features extracted from music data and can predict the genre of a new track based on these features.
music_genre_classification.ipynbβ Jupyter Notebook containing data exploration, preprocessing, model training, and evaluation.train.csvβ Training dataset with labeled music tracks and their features.test.csvβ Test dataset for evaluating the model's performance.
- Python
- Jupyter Notebook
- Pandas, NumPy
- Scikit-learn
- Matplotlib, Seaborn for visualization
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Clone the repository:
git clone https://github.com/helasaoudi/music_genre_classification.git cd music_genre_classification