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gaussian-classifier

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This project implements probabilistic machine learning methods, including Bayesian classification, Gaussian discriminant models, and dropout in neural networks. It explores softmax regression, log-likelihood optimization, and performance evaluation using accuracy, ROC curves, and confusion matrices.

  • Updated Mar 5, 2025
  • Python

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