This repository is dedicated to the Music Genre Classification project, an endeavor that leverages machine learning techniques to accurately classify music into various genres. This project aims to demonstrate the application of data processing and machine learning algorithms in the field of audio analysis and classification.
- Audio Feature Extraction: Implementing techniques to extract meaningful features from audio data.
- Machine Learning Models: Utilizing various machine learning models to classify music into genres.
- Data Preprocessing: Efficiently processing audio files to prepare them for machine learning algorithms.
- Evaluation Metrics: Using metrics to evaluate the accuracy and efficiency of the classification models.