A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.

Utilities for glmnet

glmnet for python

Accurate estimation and robust modelling of translation dynamics at codon resolution

MVPA tutorial - Rogers lab brain imaging unit

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

glmnet for python

A multi-response Gaussian model capable of accurately estimating the composition of blood samples from their gene expression profiles. Fit on Affymetrix Gene ST gene expression profiles using the glmnet R package.

Estimate ILI (Influenza-Like Illness) levels in Italy by looking at Wikipedia usage.

stress detection in social networks

Comparison between the implementations of the Lasso algorithm between the Spark MLib library and the R glmnet package.

Over the past months, we have seen a significant racial justice reckoning happening across the country since the killing of George Floyd by a police officer in May 2020. This incident sparked a redirection of attention to similar lives that had been lost at the hands of officers, leading to calls for re-evaluation of the role and power that poli…

: a R pipeline to identify the most important predictor qualitative and quantitative variables for discrimination of your variable of interest like genotype or sex or response to treatment by using phenotypic or clinical data from different diseases

We use machine learning techniques for identification of the best cognitive markers for cocaine dependence.

Norm Constrained Generalised Linear Model using numpy, numba and scipy.

Survival learners for the `mlexperiments` R 📦

Elastic Net, Lasso and Ridge models can be analyzed by the formula format.

Development of new ML library

Задание по курсу Бориса Демешева

Feature Selection using Elastic net function in the glmnet R package