ewharton / ab-testing-resourcesLinks
☆81Updated last year
Alternatives and similar repositories for ab-testing-resources
Users that are interested in ab-testing-resources are comparing it to the libraries listed below
Sorting:
- Source for book "Feature Engineering A-Z"☆142Updated 3 weeks ago
- Papers and Resources on running A/B Experiments☆90Updated 3 years ago
- ☆16Updated last year
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago
- Customer Base Analysis with Recurrent Neural Networks☆18Updated 3 years ago
- Applied Time Series Analysis and Forecasting☆167Updated 2 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆110Updated last year
- This project introduces Causal AI and how it can drive business value.☆46Updated 8 months ago
- Resources for Survival Analysis☆93Updated 7 months ago
- Unstructured Code with interesting analysis☆37Updated 7 months ago
- Code and notebooks for my Medium blog posts☆126Updated last year
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆41Updated 4 years ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆23Updated 2 years ago
- A tutorial for setting a new machine with core data science tools☆293Updated 5 months ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- ☆34Updated 4 months ago
- Power analysis and AB test analysis library☆37Updated 2 weeks ago
- Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference☆81Updated this week
- A collection of resources for experimentation☆68Updated 3 years ago
- R-Package for estimating CLV☆57Updated last month
- Code from the book Fighting Churn With Data☆288Updated last week
- Simulate Bayesian A/B testing algorithms and evaluate the results of A/B tests with a shiny app.☆20Updated 7 years ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆95Updated last month
- Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle☆39Updated 7 years ago
- ☆88Updated last year
- siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package…☆50Updated last year
- Datasets for Online Controlled Experiments☆10Updated 2 months ago
- Calculating Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM)☆50Updated 4 years ago
- R based marketing attribution and basic budget optimization using Markov Chains☆50Updated 5 years ago
- Modeling adstock in media mix modeling using Weibull transformations.☆16Updated 5 years ago