shaubhik

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/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.