NLSIG-COVID19Lab
NLSIG-COVID19Lab: A modern logistic-growth tool (nlogistic-sigmoid) for descriptively modelling the dynamics of the COVID-19 pandemic process - Published in JOSS (2021)
VBLinLogit
VBLinLogit: Variational Bayesian linear and logistic regression - Published in JOSS (2019)
gofcat
gofcat: An R package for goodness-of-fit of categorical response models - Published in JOSS (2022)
brglm2
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
tno.mpc.mpyc.secure-learning
TNO PET Lab - secure Multi-Party Computation (MPC) - MPyC - Secure Learning
credit-card-prediction
💳 This repository focuses on building a predictive model to assess the likelihood of credit card defaults. The project includes data analysis, feature engineering, and machine learning to provide accurate default predictions.
methylGSA
A Bioconductor package and shiny app for DNA methylation data length bias adjustment in gene set testing
https://github.com/shademe/liblinear-rs
Rust language bindings for the LIBLINEAR C/C++ library
SLEMI
Statistical Learning based Estimation of Mutual Information. R CRAN package.
metrics_for_individual_tree_mortality_models
How performance metric choice influences individual tree mortality model selection - code and data
glm-project
Car Price and Heart Failure prediction using Generalized Linear Models (GLMs)
bayesian-hyper-parameter-optimization-for-malware-detection
AI-CyberSec 2021 Workshop CEUR Publication(AI-2021 Forty-first SGAI International Conference)
ml_individual_tree_mortality
Does Machine Learning outperform Logistic Regression in predicting individual tree mortality? - code and data
tno.fl.protocols.logistic-regression
TNO PET Lab - Federated Learning (FL) - Protocols - Logistic Regression
https://github.com/atharvapathak/telecom_churn_case_study
Build a classification model for reducing the churn rate for a telecom company
epoc-aki
📈 Evaluation of the Predictive value of short-term Oliguria and minor Creatinine increases for Acute Kidney Injury in ICU
coefeasy
Coefeasy is an R package under development for making regression coefficients more accessible. With this tool, you can read and report key coefficients instantly.
https://github.com/catarinaacsilva/medical-image-processing
Detection of blood acanthocytes through image processing and pattern recognition techniques
betaselectr
Do selective standardization in structural equation models and regression models