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gaussian-discriminant-analysis

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Compilation of different ML algorithms implemented from scratch (and optimized extensively) for the courses COL774: Machine Learning (Spring 2020) & COL772: Natural Language Processing (Fall 2020)

  • Updated Jan 27, 2021
  • Python

A from-scratch implementation of Bayesian decision theory. This project demonstrates the derivation of Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA) by generating synthetic multivariate Gaussian datasets and calculating discriminant functions without high-level ML libraries.

  • Updated Mar 3, 2026
  • Jupyter Notebook

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