Construct a recommendation algorithm capable of accurately predicting how a user will rate a movie they have not yet viewed based on their historical preferences. The models and EDA are based on the 1M MOVIELENS dataset
- First glance at the raw data
- Preparing data for better visualization
- Exploratory data analysis
- Memory handling
- Building the models
- Content based
- Collaborative based
- Conclusion
- References
Link to project Trello board: https://trello.com/b/qnGPL8mN/unsupervised-sprint
If you would like to contribute to the repository please contact nicole.meinie@gmail.com