A library of scalable Bayesian generalised linear models with fancy features
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Updated
Sep 7, 2017 - Python
A library of scalable Bayesian generalised linear models with fancy features
Generic implementation for Generalized Linear Models including Logistic, Poisson and Ordinal Regression for Classification purposes
Working through the book and exercises Pandas for Everyone by Daniel Chen
UX Analytics & A/B Testing
Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models
Official Implementation of the paper "Fair Generalized Linear Models with a Convex Penalty."
Lightweight Python library for GLM regression.
A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.
Fit generalized linear models in python.
simple implementation of standard Gradient Descent algorithm, along with Sigmoid and GLM cost functions
Dataiku DSS plugin to train Generalized Linear Models
Benchopt benchmark for GLMs
Statsmodels: statistical modeling and econometrics in Python
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