station-10/awesome-marketing-machine-learning
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
Organizes 50+ Python and R libraries across specialized marketing ML domains—attribution modeling (Markov chains, Shapley values), causal inference (synthetic control, uplift modeling), media mix modeling, and experimental design—with cross-referenced tools for overlapping use cases. Combines production-ready frameworks like PyMC and TensorFlow Probability with domain-specific packages, enabling practitioners to move between customer journey attribution, econometric modeling, and geo-experimentation within a cohesive ecosystem.
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May 01, 2024
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