ehart-altair / SimpsonsParadoxLinks
Function for automatically detecting Simpson's Paradox
☆18Updated 4 years ago
Alternatives and similar repositories for SimpsonsParadox
Users that are interested in SimpsonsParadox are comparing it to the libraries listed below
Sorting:
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 3 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- General Interpretability Package☆58Updated 2 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- 💊 Comparing causality methods in a fair and just way.☆141Updated 5 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 5 years ago
- A framework for machine learning in complex networks☆22Updated 2 years ago
- In which I play with the ideas surrounding causality☆54Updated 3 years ago
- ☆39Updated 7 months ago
- Similarity encoding of dirty categorical variables (strings)☆20Updated 6 years ago
- Statistical analysis and visualization of state transition phenomena☆86Updated last year
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- 📈🔍 Lets Python do AB testing analysis.☆78Updated 8 months ago
- Machine learning based causal inference/uplift in Python☆62Updated 2 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- Code for blog posts.☆20Updated 2 years ago
- Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks☆25Updated 5 years ago
- Structural Time Series on US electricity demand data☆22Updated 4 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Hypothesis and statistical testing in Python☆65Updated 5 years ago
- Quick Implementation in python☆53Updated 6 years ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆64Updated 2 years ago
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆22Updated 6 years ago
- python library for automated dataset normalization☆117Updated 2 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago