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https://github.com/teresaromero/decadance
Core Code School - Machine Learning Bootcamp Final Project
https://github.com/teresaromero/decadance
Last synced: about 2 months ago
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Core Code School - Machine Learning Bootcamp Final Project
- Host: GitHub
- URL: https://github.com/teresaromero/decadance
- Owner: teresaromero
- License: mit
- Created: 2021-10-06T16:28:15.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-10-26T19:06:20.000Z (over 3 years ago)
- Last Synced: 2024-10-16T14:56:38.602Z (3 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 1.58 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# decadance
Core Code School - Machine Learning Bootcamp Final Project
## Project
The objective of this project is to make an analysis of the audio features of songs between the 40s and the 21s decades.
## Dataset
Dataset used for this project is retrieved from the [SpotifyAPI](https://developer.spotify.com/).
### 🪄 How is the dataset created?
By using the Search API in Spotify, querying by range of _years from 1900 to 2021_ od release date of tracks, filtered by _genre pop_
You can generate the csv and download the mp3 files used for the project by running:
```
$ python data/spotify
```This will create the dir `csv` and `mp3` with the datasets and mp3 files of the preview-url of the tracks.
The dataset will be a collection of tracks of pop genre witch have been released between 1900 to 2021, tagged with the decade.
### 📆 Consideration on decade
According to Wikipedia, a decade is:
> Any period of ten years is a "decade"
There are two methods to group the years on decades:
- 0-to-9 decade
- 1-to-0 decadeFor the purpose of this project, the **first one** is considered, so a decade will be all the years from 0 to 9.
For example:
- decade 1900 - from 1900 to 1909
- decade 2010 - from 2010 to 2019You can read more about this [here](https://en.wikipedia.org/wiki/Decade)