https://github.com/yassin522/music-genre-classification
This repository is dedicated to the Music Genre Classification project, an endeavor that leverages machine learning techniques to accurately classify music into various genres
https://github.com/yassin522/music-genre-classification
catboost matplotlib numpy pandas python sklearn
Last synced: 4 months ago
JSON representation
This repository is dedicated to the Music Genre Classification project, an endeavor that leverages machine learning techniques to accurately classify music into various genres
- Host: GitHub
- URL: https://github.com/yassin522/music-genre-classification
- Owner: Yassin522
- Created: 2023-08-30T11:03:06.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-12-01T17:20:05.000Z (over 2 years ago)
- Last Synced: 2025-06-25T05:07:11.731Z (about 1 year ago)
- Topics: catboost, matplotlib, numpy, pandas, python, sklearn
- Language: Jupyter Notebook
- Homepage:
- Size: 1.06 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Music Genre Classification
## Project Overview
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.
## Features
- **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.