https://github.com/paahaad/movies-recommender-system

Created content based movies recommendation system. Data cleaning and steaming for creating features and use scikit-learnlibrary for vectorization and cosine-similarity to build model
https://github.com/paahaad/movies-recommender-system

Last synced: 2 months ago
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Created content based movies recommendation system. Data cleaning and steaming for creating features and use scikit-learnlibrary for vectorization and cosine-similarity to build model

• Host: GitHub
• URL: https://github.com/paahaad/movies-recommender-system
• Owner: paahaad
• Created: 2021-12-11T17:56:33.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-12-11T18:19:23.000Z (over 4 years ago)
• Last Synced: 2025-12-26T10:50:28.882Z (6 months ago)
• Language: Jupyter Notebook
• Size: 6.84 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Movies-Recommender-System

Created content based movies recommendation system. Data cleaning and steaming for creating features and use scikit-learnlibrary for vectorization and cosine-similarity to build model

Working : https://movies-recommender-system-demo.herokuapp.com/

dataset link : https://www.kaggle.com/tmdb/tmdb-movie-metadata?select=tmdb_5000_movies.csv