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GitHub / isurulkh / Movie-Recommender-System_using_h2o-wave

An interactive movie recommender system using H2O Wave and Streamlit, featuring dynamic fetching of movie posters via TMDb API. This project combines advanced machine learning models for personalized recommendations with user-friendly interfaces, providing a unique movie discovery experience

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/isurulkh%2FMovie-Recommender-System_using_h2o-wave

Stars: 1
Forks: 1
Open Issues: 0

License: mit
Language: Jupyter Notebook
Repo Size: 12 MB
Dependencies: 5

Created: 4 months ago
Updated: 4 months ago
Last pushed: 4 months ago
Last synced: about 1 month ago

Topics: h2o-wave, movie-recommendation, recommender-system

Funding links: https://github.com/sponsors/isurulkh

Files

Readme

Dependencies

Dockerfile docker

python 3.9 build

requirements.txt pypi

h2o_wave *
numpy *
pandas *
requests *