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content-based

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Implementation of a Siamese Network in TensorFlow/Keras for handwritten digit similarity detection on the MNIST dataset. Demonstrates metric learning using a custom contrastive loss function and shared-weight CNNs.

  • Updated Aug 17, 2025
  • Jupyter Notebook

This project implements a movie recommendation system using Content-Based and Collaborative Filtering approaches. The first method suggests movies based on features like genres and similarity to the user’s preferences, while the second uses ratings from similar users. It includes preprocessing, user profiling, and ranked recommendations.

  • Updated Aug 17, 2025
  • Jupyter Notebook

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