- Our project's goal is to build a better music recommendation system through machine learning.
- We will use data from KKBOX given by Kaggle, augmented by data from last.fm and the Million Song Dataset to accurately predict whether a user will listen to a track a second time within a month of the first listening instance.
Accomplished today:
- Gathered all the data
- Started setup process for AWS
Next steps:
- Clean data
- Review machine learning concepts to determine models to test
- Start training models