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View All on GitHub [Docs] Consistency polish: footer version (0.1.0→0.2.0), causal-00 orientation box, tier chips about 2 hours ago
documentation good first issue gap-analysis
A production-ready Bayesian MMM framework emphasizing methodological rigor over specification shopping. Full uncertainty quantification, hierarchical modeling, and async fitting via PyMC-Marketing.
Jupyter Notebook
#automl#bayesian#bayesian-inference#causal-inference#machine-learning#marketing#media#media-mix-modeling#mmm#python
enhancement good first issue gap-analysis
A production-ready Bayesian MMM framework emphasizing methodological rigor over specification shopping. Full uncertainty quantification, hierarchical modeling, and async fitting via PyMC-Marketing.
Jupyter Notebook
#automl#bayesian#bayesian-inference#causal-inference#machine-learning#marketing#media#media-mix-modeling#mmm#python