This project explores movie titles and user ratings to find associations between titles, themes, and success using data mining techniques.
- Jupyter Notebook for data analysis
- reviews.csv and movies.csv datasets (derived from here with the dataset called ml-latest-small)
- R markdown report with explanations and methods (generated to PDF)
- data folder with images for the R markdown report
- Genre associations
- Title words associated with genres
- Movie rating and genre associations
- User genre preferences
This project was completed for a Data Mining course.
F. Maxwell Harper and Joseph A. Konstan. 2015. The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems (TiiS) 5, 4: 19:1–19:19. DOI: 10.1145/2827872: https://doi.org/10.1145/2827872
- Kajetan Sulwiński (ekohachi22)
- Mikołaj Marmurowicz (Mickeyo0o)