A project to use machine learning to intelligently recommend anime. In testing, this project achieved an average AUC of 0.9. For more information, see here.
- Collect data
- Create model
- Generate recommendations
- Added k-fold cross validation to calculate training and testing AUC
- Wrap code into functions
- Add methods to add additional users and lists to the model
- Write a better README (with installation instructions, screenshots, etc.)
- Potentially host parts of the program on a web server?