ewharton / ab-testing-resourcesLinks
☆91Updated 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"☆153Updated this week
- Papers and Resources on running A/B Experiments☆92Updated 4 years ago
- Applied Time Series Analysis and Forecasting☆169Updated 2 years ago
- Resources for Survival Analysis☆98Updated 7 months ago
- A tutorial for setting a new machine with core data science tools☆295Updated last year
- Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…☆88Updated last month
- Unstructured Code with interesting analysis☆36Updated last year
- Boosting scorecards☆15Updated last week
- Code from the book Fighting Churn With Data☆311Updated 6 months ago
- Code and notebooks for my Medium blog posts☆131Updated last year
- Handbook of Regression Modeling in People Analytics (1st Edition)☆171Updated last month
- This project introduces Causal AI and how it can drive business value.☆54Updated last year
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Slides for "Feature engineering for time series forecasting" talk☆66Updated 3 years 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
- ☆36Updated last year
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆115Updated last month
- A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms☆164Updated 2 years ago
- Code for the Book Causal Inference in Python☆365Updated 2 years ago
- Forecast the US demand for electricity☆100Updated 4 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆44Updated 4 years ago
- A collection of resources for experimentation☆82Updated 3 years ago
- (WIP) Getting started with Docker - An introduction to Docker with data science and engineering applications☆129Updated 2 years ago
- ☆16Updated last year
- Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"☆94Updated this week
- Codes for case studies for the Bekes-Kezdi Data Analysis textbook☆230Updated this week
- ☆63Updated last year
- Website sources for Applied Machine Learning for Tabular Data☆157Updated last week
- The Ultimate Product Data Science & Analytics Resource☆69Updated 4 years ago
- Customer Base Analysis with Recurrent Neural Networks☆19Updated 3 years ago