Pinned Repositories
BayesianMMM
(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
cloud-for-marketing
crmint
Reliable data integration & processing for advertisers
Flowise
Drag & drop UI to build your customized LLM flow
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.
shaubhik's Repositories
shaubhik/BayesianMMM
(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
shaubhik/cloud-for-marketing
shaubhik/crmint
Reliable data integration & processing for advertisers
shaubhik/Flowise
Drag & drop UI to build your customized LLM flow
shaubhik/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.