glmnet

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

Utilities for glmnet

Accurate estimation and robust modelling of translation dynamics at codon resolution

glmnet for python

Calculating Regularized Adjusted Plus-Minus (RAPM) with R

MVPA tutorial - Rogers lab brain imaging unit

Leap motion image recognition gesture checker GUI

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

Advanced Regression Techniques to predict housing prices.

glmnet compiled for MATLAB R2020, Windows 10 64-bit

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 police hold. In order for stakeholders like activism groups and local policymakers to make the most change in the quickest and most effective manner in response to these calls, the data code and report strived to answer a questions that will enable this. The primary tool used was R, with ggplot and machine learning packages.

Research project to measure the firm Expected Investment Growth (EIG) based on a combination of machine learning tools and text regression.

The MCB for variable selection identifies two nested models (upper and lower confidence bound models) containing the true model at a given confidence level.

A GAUSS wrapper of the glmnet package for fitting generalized linear models via penalized maximum likelihood.

Experimentation of L1, L2 and ElasticNet regularized linear models (with GLMNet) for predicting the battery capacity of a mobile phone from its specifications.

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

stress detection in social networks

Code library

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.

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

Additional Tools for glmnet

application of machine learning to indoor localization of RF sources

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

Understand what influences bike rental usage. 🚲

A web application implementing models to predict ICU admission for COVID-19 patients based on clinical, laboratory and imaging parameters

This project was in collaboration with University Hospital Birmingham

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

glmnet for python