Skip to content

Latest commit

 

History

History
17 lines (13 loc) · 697 Bytes

README.md

File metadata and controls

17 lines (13 loc) · 697 Bytes

stat4609-project

This is the course project conducted by @jevrii, @kellycyy and me. The project studies the Netflix Prize dataset, developing three models (kNN, SVD and NCF) to predict ratings.

The project report can be found at report.pdf. Code implementations are found in the following files:

  • kNN: knn_full_submit.ipynb
  • SVD: svd_full_submit.ipynb
  • NCF: ncf_with_full_dataset.ipynb
  • GMF: gmf_with_full_dataset.ipynb

Since this project is only of technical interest of demonstrating different models, we did not try to push the test RMSE to its best. The best result we obtained was only around $0.87$.