Pinned Repositories
data
Data and code behind the stories and interactives at FiveThirtyEight
hello-world
nfl-elo-game
Data and code for FiveThirtyEight's NFL game
proteinalign
Protein Structure Alignment
pycon-ds-2018
Introduction to Python for Data Science for PyCon 2018
Robyn
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.
shinymanager
Simple and secure authentification mechanism for single shiny applications.
thodorisgkolias's Repositories
thodorisgkolias/Robyn
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.
thodorisgkolias/shinymanager
Simple and secure authentification mechanism for single shiny applications.
thodorisgkolias/pycon-ds-2018
Introduction to Python for Data Science for PyCon 2018
thodorisgkolias/nfl-elo-game
Data and code for FiveThirtyEight's NFL game
thodorisgkolias/proteinalign
Protein Structure Alignment
thodorisgkolias/data
Data and code behind the stories and interactives at FiveThirtyEight
thodorisgkolias/hello-world