Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/ofir-frd/prediction-of-music-genre
Classify music into genres by classical machine learning models
https://github.com/ofir-frd/prediction-of-music-genre
data-science exploratory-data-analysis grid-search-cv machine-learning music
Last synced: 4 days ago
JSON representation
Classify music into genres by classical machine learning models
- Host: GitHub
- URL: https://github.com/ofir-frd/prediction-of-music-genre
- Owner: ofir-frd
- License: apache-2.0
- Created: 2021-12-17T12:24:58.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-01-04T11:26:56.000Z (about 3 years ago)
- Last Synced: 2023-10-20T06:47:48.217Z (about 1 year ago)
- Topics: data-science, exploratory-data-analysis, grid-search-cv, machine-learning, music
- Language: Jupyter Notebook
- Homepage:
- Size: 20 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Prediction of Music Genre
A Kaggle dataset.
In this project a dataset of songs needs to be classified by their genre.
## About Data collection methodology
No early description is given on the feature collection methods, quality, or any other type of data.
### Description of the data
Directory description:
```
Root Dir/
- Prediction_of_music_genre.ipynb
- classification_report_plot.ipynb
- music_genre.csv
- README.md
- LICENSE.md
- .gitignore
```
Features review:
```
music_genre.csv/
- Labels
- music_genre
- Numerical
- instance_id
- popularity
- acousticness
- danceability
- duration_ms
- energy
- instrumentalness
- liveness
- loudness
- speechiness
- tempo
- valence
-Categorical
- key
- mode
- Other
- artist_name - text
- track_name - text
- obtained_date - irrelevant
```
### File formats
Code writen in Python on Jupyter '.ipynb'.
The data provided in this project is a '.csv' file with no separation between train and test datasets.
```
-50,000 songs, format csv.
```
## Online Repository link
* [DataRepository](https://www.kaggle.com/vicsuperman/prediction-of-music-genre)
## Author
* [ofir-frd](https://github.com/ofir-frd)
## License
This project is licensed under the Apache License 2.0 - see the [LICENSE.md](https://github.com/ofir-frd/Prediction_of_Music_Genre/blob/main/LICENSE) file for details
## Acknowledgments
* Inspired by the Shazam app