pymc-labs/pymc-marketing

mmm-modeling

Media Mix Modeling with PyMC-Marketing. Use when building MMMs, specifying adstock/saturation transformations, setting priors, fitting multidimensional (geo-level) models, computing channel contributions, ROAS, running budget optimization, calibrating with…

work-in-repo

Learn how to work in the current folder (repository)

working-with-notebooks

Fixing and validating Jupyter notebooks in pymc-marketing. Use when notebooks fail CI, need arviz_plots 2.x migration fixes, or when source code changes require notebook output updates.

code-best-practice

PyMC-Marketing coding conventions, preferred implementations, and style guidelines.

commit

Create git commits for changes made during the session.

implement

Create an implementation based on a plan.

make-plan

Create a plan based on document research through an interactive, iterative process.

research

Structure a research based on the user request. Identify what must change in order to complete the task.

commit

Create git commits for changes made during the session.

make-plan

Create a plan based on document research through an interactive, iterative process.

research

Structure a research based on the user request. Identify what must change in order to complete the task.