DavisTrey / ExperimentationResourcesLinks
A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms
☆163Updated 2 years ago
Alternatives and similar repositories for ExperimentationResources
Users that are interested in ExperimentationResources are comparing it to the libraries listed below
Sorting:
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆234Updated last week
- Multi-Touch Attribution☆122Updated 2 months ago
- ☆280Updated 2 weeks ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆70Updated 2 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆118Updated last year
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆141Updated 6 years ago
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆95Updated 5 months ago
- A Python package for Bayesian A/B Testing☆61Updated 2 years ago
- ☆91Updated last year
- A collection of resources for experimentation☆81Updated 3 years ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆397Updated 3 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆85Updated last year
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆352Updated 2 years ago
- Implementation of statistical models to analyze time lagged conversions☆263Updated last year
- Papers and Resources on running A/B Experiments☆92Updated 4 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆127Updated last year
- A package to compute a marketing mix model.☆74Updated 2 years ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆327Updated 2 years ago
- A curated list of awesome posts, videos, and articles on leading a data team (small and large)☆546Updated 3 weeks ago
- Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library☆59Updated 3 years ago
- Python Class created to address problems regarding Digital Marketing Attribution.☆349Updated 3 weeks ago
- LTVision is an open-source library from Meta, designed to empower businesses to unlock the full potential of predicted customer lifetime …☆101Updated last week
- ☆140Updated 2 weeks ago
- Calculator to define runtime of experiments☆89Updated 2 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆62Updated 4 years ago
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,021Updated 7 months ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆171Updated 2 weeks ago
- Data-Driven Marketing Attribution☆35Updated 5 years ago
- ☆136Updated last year
- Bayesian A/B testing☆81Updated 2 months ago