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svd-recommendation-algorithm

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singular-value-decomposition-svd-solver-course

Singular Value Decomposition (SVD) is a fundamental linear algebra technique that factorizes any into the product of three matrices: are orthogonal matrices containing left and right singular vectors, while sigma is a diagonal matrix of non-negative singular values. It is essential for data reduction, noise removal, and matrix approximation.Solver

  • Updated Mar 1, 2026
  • Python
YelpRecommender

The goal of this project was to build an explicit recommender system using collaborative filtering for restaurants in Charlotte using Yelp's Open Dataset. I wanted to explore the mechanics of recommendations systems, and explore a new library in Surprise.

  • Updated Aug 6, 2020
  • Jupyter Notebook

The Genius You is a growing platform where the user has options to set daily achieving targets and goals as per the duration locked to accomplish his scope for improvement. This platform provides to improves his\her daily targets such as reading, studying, reducing phone usage, etc. This code is developed to Analysis of the goals that are being …

  • Updated Jun 30, 2022
  • Jupyter Notebook

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