This system, using user ratings, recommends animes similar to the ones that the user likes.
Building a better anime recommendation system based only on user viewing history. This data set contains information on user preference data from 73,516 users on 12,294 anime. Each user is able to add anime to their completed list and give it a rating and this data set is a compilation of those ratings.
- Recommendation.ipynb includes data preparation, analysis, visualization, and machine learning models
- anime.csv dataset from Kaggle
- rating.csv dataset from Kaggle
- this Readme.md
- LICENSE.md
- gitignore.txt
Apache License 2.0
See the LICENSE file for details