gregberns / ABTesting
Papers and Resources on running A/B Experiments
☆90Updated 3 years ago
Alternatives and similar repositories for ABTesting:
Users that are interested in ABTesting are comparing it to the libraries listed below
- ☆80Updated 10 months ago
- Project work for Udacity's AB Testing Course☆82Updated 7 years ago
- Notes and Python scripts for A/B or Split Testing☆140Updated 2 years ago
- An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…☆32Updated 3 years ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆23Updated 2 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- Some notes on techniques for variance reduction to increase the power of A/B tests☆14Updated 5 years ago
- Code and notebooks for my Medium blog posts☆120Updated last year
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆347Updated last year
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago
- A Python package for Bayesian A/B Testing☆61Updated last year
- Customer Base Analysis with Recurrent Neural Networks☆18Updated 3 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆66Updated 8 months ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆41Updated 3 years ago
- Multi-Touch Attribution☆114Updated 3 years ago
- Learning statistics with Python☆53Updated 4 years ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆326Updated 2 years ago
- Uplift modeling and evaluation library. Actively maintained pypi version.☆75Updated last year
- ☆34Updated 6 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆411Updated 9 months ago
- Lightweight uplift modeling framework for Python☆28Updated 5 years ago
- A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms☆156Updated last year
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- ☆26Updated 3 years ago
- Calculating Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM)☆50Updated 4 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆168Updated 8 months ago
- A simple to use AB testing framework that lets anyone perform bayesian data analysis☆20Updated 5 months ago
- Uplift modeling package.☆373Updated 2 years ago
- The Ultimate Product Data Science & Analytics Resource☆64Updated 3 years ago