Pinned Repositories
bachelor-thesis
Monte Carlo Simulation comparing the performance of various estimators for panel data with binary dependent variable models
effCTR
Implementation of algorithms for click through rate predictions utilising sparsity.
GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
ksolarski.github.io
My own, very nice website
orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
PySiMMMulator
PySiMMMulator is an open source Python adaption of the R-package siMMMulator, which allows users to generate simulated data to use in testing Marketing Mix Models (MMMs).
orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
ksolarski's Repositories
ksolarski/ksolarski.github.io
My own, very nice website
ksolarski/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
ksolarski/bachelor-thesis
Monte Carlo Simulation comparing the performance of various estimators for panel data with binary dependent variable models
ksolarski/effCTR
Implementation of algorithms for click through rate predictions utilising sparsity.
ksolarski/GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
ksolarski/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
ksolarski/pandera
A light-weight, flexible, and expressive statistical data testing library