Topic: glmnet Goto Github
Some thing interesting about glmnet
Some thing interesting about glmnet
glmnet,Trabajo Especialización 2018 (ALR)
User: alrolla
glmnet,Additional Tools for glmnet
Organization: ampel-leipzig
Home Page: https://ampel-leipzig.github.io/glmnettools
glmnet,Detailed exploratory and predictive analysis of Airbnb data using R for data manipulation and model building.
User: an-eve
glmnet,A GAUSS wrapper of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
Organization: aptech
glmnet,we fit various splines to model the COVID-19 daily positive case numbers in Florida from 3/3/20 – 3/7/21.
User: arek-kesizabnousi
glmnet,Code of the least angle regression solution path by hand for an example( p=5). Then we compute the solution path for a dataset and compare it with the LASSO path.
User: arek-kesizabnousi
glmnet,Development of new ML library
User: bdiptesh
glmnet,🧠 Machine learning analysis for the paper named "Predicting 3-year persistent or recurrent major depressive episode using machine learning techniques".
User: brunomontezano
glmnet,👥 Análise de dados relacionada a predição de prejuízo funcional em sujeitos com transtornos de humor.
User: brunomontezano
Home Page: https://brunomontezano.shinyapps.io/functional_impairment_risk_calculator/
glmnet,Feature Selection using Elastic net function in the glmnet R package
User: caanene1
glmnet,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.
User: cashoes
glmnet,Análisis de salario obtenido del paquete ISLR
User: ceciliamachado
glmnet,A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
Organization: civisanalytics
glmnet,application of machine learning to indoor localization of RF sources
User: elaird6
Home Page: https://elaird6.github.io/rfml_localization/
glmnet,stress detection in social networks
User: extremecode
glmnet,Estimate ILI (Influenza-Like Illness) levels in Italy by looking at Wikipedia usage.
User: geektoni
glmnet,Understand what influences bike rental usage. :bike:
User: ggeop
glmnet,The study focuses on modeling and predicting H5N1 bird flu outbreaks in the United States at the county level, utilizing diverse statistical techniques and machine learning models.
Organization: gitdata-ga
Home Page: https://h5n1.gd.edu.kg/
glmnet,Research project to measure the firm Expected Investment Growth (EIG) based on a combination of machine learning tools and text regression.
User: gustavocxavier
glmnet,Scripts used to prepare the "Pathogen invasion history elucidates contemporary host pathogen dynamics" publication by Vredenburg et al. (2019)
User: hasanregius
Home Page: https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0219981
glmnet,The MCB for variable selection identifies two nested models (upper and lower confidence bound models) containing the true model at a given confidence level.
User: heming0425
glmnet,Utilities for glmnet
User: hongooi73
glmnet,Comparison between the implementations of the Lasso algorithm between the Spark MLib library and the R glmnet package.
User: jakobgerstenlauer
glmnet,Norm Constrained Generalised Linear Model using numpy, numba and scipy.
User: jcrichard
glmnet,Learners for the `mlexperiments` R 📦
User: kapsner
Home Page: https://github.com/kapsner/mllrnrs/wiki
glmnet,Survival learners for the `mlexperiments` R 📦
User: kapsner
Home Page: https://github.com/kapsner/mlsurvlrnrs/wiki
glmnet,Predicting diamond prices based on several supervised machine learning algorithms
User: kerim-kilic
glmnet,Algorithmes d’apprentissage et modèles statistiques: Un exemple de régression logistique régularisée et de validation croisée pour prédire le décrochage scolaire
Organization: labo-lacourse
glmnet,This project was in collaboration with University Hospital Birmingham
User: lzdh
glmnet,Multivariate linear regression, CART and Random Forest dataset analysis
User: mcrimi
glmnet,Code library for common machine learning algorithms
Organization: ml-lib
glmnet,: 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
User: munizmom
glmnet,Advanced Regression Techniques to predict housing prices.
User: praneethkvs
glmnet,
User: przybm
glmnet,MVPA tutorial - Rogers lab brain imaging unit
User: qihongl
glmnet,Sample data of Indian Domestic flights operated between march and june of 2019 was explored. Machine learning models that predicts the cost of the ticket was built.
User: rathina98
glmnet,Задание по курсу Бориса Демешева
User: rhangelxs
Home Page: https://rhangelxs.github.io/r_socio_hse/
glmnet,We use machine learning techniques for identification of the best cognitive markers for cocaine dependence.
User: saidejp
Home Page: https://osf.io/m7h3x/
glmnet,Accurate estimation and robust modelling of translation dynamics at codon resolution
Organization: schatzlab
glmnet,This project aims to predict heart failure outcomes by applying statistical learning algorithms. The goal is to improve the prediction accuracy through the SuperLearner algorithm.
User: scrayil
glmnet,LASSO, elastic net, Adaptive LASSO, SCAD methods for determining top predictors for each method
User: shivaniarbat
glmnet,Leap motion image recognition gesture checker GUI(C#) for developing Hand bone angles, Positions, and recognizable gestures(fuzzy logic) implementable in Virtual/Augmented reality apps.
User: shootingking-am
glmnet,My role in this group project was to perform regression analysis on quarterly financial data to predict a company's market capitalization. I used R to develop ordinary least squares (OLS), stepwise, ridge, lasso, relaxed lasso, and elastic net regression models. I first used stepwise and OLS regression to develop a model and examine its residual plots. The plot displaying the residuals against the predicted values indicated multiplicative errors. I, therefore, took the natural log transformation of the dependent variable. The resulting model's R2 was significantly, negatively impacted. After examining scatter plots between the log transformation of market capitalization and the independent variables, I discovered the independent variables also had to be transformed to produce a linear relationship. Using the log transformation of both the dependent and independent variables, I developed models using all the regression techniques mentioned to strike a balance between R2 and producing a parsimonious model. All the models produced similar results, with an R2 of around .80. Since OLS is easiest to explain, had similar residual plots, and the highest R2 of all the models, it was the best model developed.
User: tboudart
glmnet,Calculating Regularized Adjusted Plus-Minus (RAPM) with R
User: tonyelhabr
glmnet,Elastic Net, Lasso and Ridge models can be analyzed by the formula format.
User: toshihiroiguchi
glmnet,Fake News analysis and prediction in R Script. Naive Bayes, Random Forest, SVM, NNET, ROC, Confusion Matrix, Accuracy, F1 score.
User: trajceskijovan
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