DavisTrey / ExperimentationResources
A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms
☆145Updated last year
Related projects ⓘ
Alternatives and complementary repositories for ExperimentationResources
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆182Updated 4 months ago
- ☆263Updated last month
- A Python package for Bayesian A/B Testing☆61Updated last year
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆114Updated 5 months ago
- Multi-Touch Attribution☆109Updated 2 years ago
- Bayesian A/B testing☆73Updated last month
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆72Updated 11 months ago
- Python Class created to address problems regarding Digital Marketing Attribution.☆305Updated last month
- ☆131Updated 8 months ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆60Updated last year
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆700Updated this week
- ☆36Updated 2 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆87Updated 6 months ago
- Implementation of statistical models to analyze time lagged conversions☆258Updated 5 months ago
- Python port of CausalImpact R library☆275Updated 6 months ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆318Updated last year
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆352Updated 2 years ago
- A collection of resources for experimentation☆60Updated 2 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆341Updated last year
- ☆73Updated 5 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆616Updated 3 weeks ago
- A package to compute a marketing mix model.☆70Updated last year
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆126Updated 5 years ago
- R package for Customer Behavior Analysis☆185Updated 7 months ago
- Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library☆58Updated 2 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆72Updated last month
- Calculator to define runtime of experiments☆87Updated last year
- ☆125Updated 5 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆56Updated 2 years ago
- Fit Sparse Synthetic Control Models in Python☆78Updated 7 months ago