#generalized-linear-model

A Practical Guide to Generalized Linear Models: When Linear Regression Is Not Enough

“All models are wrong, but some are useful.” — George Box

Oil is not a black swan: how a mathematical model predicted the volatility of the Iran-Israel…

What if major geopolitical conflicts aren’t as unpredictable as we think? A new study shows that the March 2026 crisis was already…

Genelleştirilmiş Lineer Modeller (GLM) — Ders Notları

1. Exponential Family (Üstel Dağılımlar Ailesi)

Generalized Lineal Model for begginers

Building custom Generalized Linear Models with skglm: Tailored Datafits, Penalties and Solvers

Generalized Linear Models (GLMs) are widely used in machine learning because they’re easy to interpret and backed by strong theoretical…

From Perceptron to Softmax Regression: Demystifying Generalized Linear Models (GLM)

🔹 1. Introduction

Testing hypotheses about proportions (%) through the logistic regression (and friends)

In my previous article titled “Is logistic regression a regression? It has been a regression since its birth — and is used this way every…

Exponential Family of Distributions: Making Math intuitive

Understanding the Exponential Family of Distributions is a game-changer in machine learning. It forms the backbone of Bayesian networks…

ChatGPT-4o can correctly provide and interpret summary statistics of Generalized Linear Models —…

In the last couple of weeks, we looked at how reliably ChatGPT-4o can run and interpret linear regression and multiple regression models…

Generalized Linear Models (GLM)

A generalized linear model (GLM) is an extension of ordinary linear regression that allows for the dependent variable Y to have error…

A Machine Learning Approach to Marketing Attribution

LIMITLESS INFORMATION!

Generalized Linear Mixed Effects Models in R and Python with GPBoost

An introduction and comparison with ‘lme4’ and ‘statsmodels’