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suprise

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Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python

  • Updated Jun 28, 2022
  • HTML

🎬 This repository focuses on building a personalized movie recommender system for ZEE5 using collaborative filtering, content-based methods, and matrix factorization, Pearson correlation, Suprise SVD techniques to deliver accurate, user-relevant recommendations & evaluated through NDCG, MRR, MAPE

  • Updated Dec 17, 2025
  • Jupyter Notebook

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