MovieRecommender
Artificial-Intelligence-Projects
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MovieRecommender | Artificial-Intelligence-Projects | |
---|---|---|
4 | 1 | |
32 | 308 | |
- | - | |
0.0 | 2.6 | |
over 1 year ago | 11 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MovieRecommender
Artificial-Intelligence-Projects
What are some alternatives?
tutorials - AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
lolesports-predictor - Personal machine learning & GUI project to predict League of Legends Esports game results between two teams
TIMDB - The Indian Movie Database - supports content-based and collaborative filtering techniques
apartment_recommender_streamlit_app - Streamlit App that recommends apartments in Seattle using the Airbnb kaggle dataset: https://www.kaggle.com/code/rdaldian/airbnb-content-based-recommendation-system/data?select=listings.csv
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
recommenders - Best Practices on Recommendation Systems