- Project: Music Recommender
- Authors: Hansi Seitaj, Eni Vejseli, Andrew Kozempel
- Date: 04/25/2022
- Version: 1.0.0
The Music Recommender is an application developed to suggest music tracks based on user preferences, leveraging machine learning algorithms such as Principal Component Analysis (PCA) and K-Nearest Neighbors (KNN). This first version of the application doesn't incorporate inheritance but utilizes a variety of libraries to provide a rich feature set.
To use this application, you will need to set up an Anaconda environment and install the necessary libraries. Follow these steps:
- Install the libraries by running these commands in your Anaconda prompt:
pip install spotipy pip install plotly pip install chart_studio
Create a Spotify developer account (it's free) and get your unique client_id and client_secret IDs. 🖥️ How to Use After setting up your Anaconda environment and Spotify developer account, you're ready to use the Music Recommender application. Detailed steps will be provided in upcoming sections.
📚 Documentation Further documentation, including examples and troubleshooting, will be available soon. Stay tuned!
🤝 Contributing Interested in making a difference? Submit a pull request or open an issue on the GitHub repository.
📜 License Licensed under the terms of the MIT license. Check the LICENSE file in the repository for details.
🙏 Thanks for your interest in the Music Recommender project! Let's amplify the vibes together.