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nearest-neighbours-classifier

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Built prediction and retrieval models for document retrieval, image retrieval, house price prediction, song recommendation, and analyzed sentiments using machine learning algorithms in Python

  • Updated Jan 20, 2018
  • Jupyter Notebook

This is a course project to select a subset of data to build an efficient nearest neighbor classifier. Choosing a representative subset of "prototypes" from the training set is crucial for accelerating nearest neighbor classifiers. This project proposes projecting the data into a latent space using a pretrained embedder.

  • Updated Feb 21, 2024
  • Jupyter Notebook

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