Pinned Repositories
Code_chap_23_logistic_regression_regularization
Algorithmes d’apprentissage et modèles statistiques: Un exemple de régression logistique régularisée et de validation croisée pour prédire le décrochage scolaire
Praxis-Module-1
RMLCA-with-StepMix
stepmix
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.
StepMixR
R interface to python package StepMix
tuto-reg-logistique-interactions
Labo-Lacourse's Repositories
Labo-Lacourse/stepmix
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.
Labo-Lacourse/Code_chap_23_logistic_regression_regularization
Algorithmes d’apprentissage et modèles statistiques: Un exemple de régression logistique régularisée et de validation croisée pour prédire le décrochage scolaire
Labo-Lacourse/StepMixR
R interface to python package StepMix
Labo-Lacourse/Praxis-Module-1
Labo-Lacourse/RMLCA-with-StepMix
Labo-Lacourse/tuto-reg-logistique-interactions