A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.

The course gives an overview over important models and techniques for regression analysis outside standard linear regression. In particular, the students will learn how to extend the linear model for ...

Enhance your data analysis skills with this hands-on course on Generalised Linear Models in R. Learn to model complex data types and apply GLMs in real-world scenarios.

Typical analyses include probit or logistic modeling of bioassay (binary dead or alive) data or count data. This was primarily for models with only fixed effects, with the models known as generalized ...

You then have access to the course for an additional 2 months. Instructor support includes emailing your instructor, accessing live discussion threads, and scheduling one-on-one appointments (Zoom or ...

Generalized linear models (GLMs) are a widely utilized family of machine learning models in real-world applications. As data size increases, it is essential to perform efficient distributed training ...