This project explores using a simple dataset, like this Spotify dataset to explore metadata of tracks and create recommendations based off said metadata.
Due to file size limitations by GitHub, I've excluded the tracks.csv file from the repo. After downloading the Spotify dataset mentioned above, drag and drop the tracks.csv file into the data folder.
Note: Use pip for package installs.
- Numpy
pip install numpy
- Pandas
pip install pandas
- Matplotlib
pip install matplotlib
- Seaborn
pip install seaborn
- Tqdm
pip install tqdm
This project was inspired by this article on simulating the Spotify recommendation engine in Python.