Repositories list

• stepmix

  Public
  A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.

  machine-learningclusteringsupervised-learning+ 5classificationexpectation-maximizationlcamixture-modelslatent-class-analysis

  Python

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  MIT License

  •4•60•15•0•Updated Oct 8, 2024Oct 8, 2024

• StepMixR

  Public
  R interface to python package StepMix

  R

  •0•1•2•0•Updated May 8, 2024May 8, 2024

• RMLCA-with-StepMix

  Public
  HTML

  •0•0•0•0•Updated Nov 27, 2023Nov 27, 2023

• tuto-reg-logistique-interactions

  Public
  HTML

  •0•0•0•0•Updated Feb 9, 2022Feb 9, 2022

• Code_chap_23_logistic_regression_regularization

  Public
  Algorithmes d’apprentissage et modèles statistiques: Un exemple de régression logistique régularisée et de validation croisée pour prédire le décrochage scolaire

  machine-learningrglmnet+ 6ridge-regressionsocial-scienceslasso-regressionelastic-net-regressionlogistic-regressionregularization

  Jupyter Notebook

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  Creative Commons Attribution 4.0 International

  •6•3•0•0•Updated Jun 11, 2021Jun 11, 2021

• Praxis-Module-1

  Public
  HTML

  •1•0•0•0•Updated Mar 23, 2021Mar 23, 2021