Pinned Repositories
consent-based-conversion-adjustments
lightweight_mmm
PipelineDP
PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.
sentiment
crystalvalue
gps_building_blocks
consent-based-conversion-adjustments
Code to statistically up-weight conversion values of consenting customers to feed up to 100% of the factual conversion values back into Google Ads.
lightweight_mmm
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
ReadingClub
PipelineDP
PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.
cahlheim's Repositories
cahlheim/consent-based-conversion-adjustments
cahlheim/lightweight_mmm
cahlheim/PipelineDP
PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.
cahlheim/sentiment