CREATING OUR OWN SPOTIFY PLAYLIST RECOMMENDATION MODELS

Spotify Recommendations Final Project for CS109A (Fall 2019, Harvard University)

Group 33: Christina Park, Seeam Noor, and Yinyu Ji

The repository contains all the ipython notebooks used for models. It also contains the data files we used. There was one data file which was too big to upload on Github. The link to the data file is given below. Link to Sample_from_Million_Playlists: https://drive.google.com/file/d/1vvUs9NeV2ee_N1s7S3wBH8o7fcma_YMF/view?fbclid=IwAR2h0G47rffZLUjF4PVm73qn69fS3LwSCFO1rqfqYo4eOTEtq-pPNHcO3fM

To access Spotify API, you must use your own credentials. The request appears in our EDA and Data Cleaning notebooks.

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
data		data
ALS_model.ipynb		ALS_model.ipynb
BaselineModel_and_EDA_on_Million_Playlists_and_Spotify_API.ipynb		BaselineModel_and_EDA_on_Million_Playlists_and_Spotify_API.ipynb
KNeighborsModel.ipynb		KNeighborsModel.ipynb
README.md		README.md
final_project_content_filtering.ipynb		final_project_content_filtering.ipynb
final_project_data_cleaning.ipynb		final_project_data_cleaning.ipynb
final_project_hierachical_clustering.ipynb		final_project_hierachical_clustering.ipynb
final_project_kmeans_clustering.ipynb		final_project_kmeans_clustering.ipynb
tools.py		tools.py

Provide feedback