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gaussian-bayesian-networks

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kyomangold / ETH-MachineLearning

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Repository for the code of the "Introduction to Machine Learning" (IML) lecture at the "Learning & Adaptive Systems Group" at ETH Zurich.

linear-regression generative-adversarial-network naive-bayes-classifier neural-networks expectation-maximization gaussian-mixture-models logistic-regression kernel-methods unsupervised-learning autoencoders principal-component-analysis maximum-likelihood-estimation maximum-a-posteriori-estimation k-means-clustering kernel-pca gaussian-bayesian-networks
  • Updated Jan 7, 2024
  • Python

tonyamf / Bayesian_Network_Analysis_of_Metabolic_Syndrome

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Metabolic syndrome is a cluster of conditions that occur together, increasing the risk of heart disease, stroke, and type 2 diabetes. This project uses an explorative approach with Bayesian networks to investigate the probabilistic dependencies among these conditions. By modeling these relationships, we can gain a better understanding.

bayesian-network gaussian-bayesian-networks structure-learning-algorithms multinomial-bayesian-networks hybrid-bayesian-networks
  • Updated Jun 24, 2025
  • Jupyter Notebook

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