/Spotify-Recommendation-Engine

Music Recommender System

Primary LanguageJupyter NotebookMIT LicenseMIT

Codacy Badge Gitter

Check my video to understand this project better.

Notice for all GirlScript Participants

Link to Airtable

Music recommender system.

  • 1.This is my input data

- 2.Spotify has inhouse functions to extract track details.

- 3.This is the extracted dataframe

- 4.I do Data Analysis and use well known statistical techniques.

Requirements

  • spotipy
 pip install spotipy

Voila! ,we convert this into a simple data analytics problem.Thanks to this Python wrapper Spotipy

Read more about Spotify's recommendation algorithm

Spotify Developer for more info

Regarding already assigned issues

Feel free to still comment down below those issues.This project supports many contributors and thus only that Pull Request will be merged which would be the best out of all proposed PRs by the participants for a certain issue/feature.

Contributing

Before you follow the mentioned steps, make sure you read our Code of Conduct.

Steps to follow 📜

1. Fork it 🍴

2. Clone it 👥

`https://github.com/ucalyptus/Spotify-Recommendation-Engine.git`

3. Create a new branch ‼️

`git checkout -b newbranch oldbranch`

4. Do the needful changes to solve the issue.

5. Add the files one at a time

    `git add path-to-your-file`

6. Commit the changes.

Type in a message relevant for the code reveiwer using

   ```sh
   # This message get associated with all files you have changed
   $ git commit -m "description about changes"
    ```
Now, Push your awesome work to your remote repository using
`git push origin newbranch`

6. Making a pull request

# To push your work to your remote repository
$ git push -u origin Folder_Name

Finally, go to your repository in browser and click on compare and pull requests. Then add a title and description to your pull request that explains your precious effort.

click on Compare and Pull Request

👨 Project Admin

  • Sayantan Das

👬 Mentors

  • Kashish Madan

  • Kshitij Gupta

  • Abhilash Gunasegaran

  • Lucky Suman

Feel free to ask your queries!! 🙌

GirlScript 2020 contributors so far

Contributors Beginner Easy Medium Hard
@chttrjeankr - - YES -
@BALaka-18 - - YES -
@aashimgarg - YES YES -
@roshankcjha YES - - -
@Mansi145 - YES - -
@Akansha2202 YES - - -
@mySTRiouscoder - YES YES -
@SubhradeepSS - - - YES
@Samriddhi25 - YES - -
@algokun YES - - -

KWoC contributors