tlentali / leab
ππ Lets Python do AB testing analysis.
β76Updated 3 weeks ago
Alternatives and similar repositories for leab
Users that are interested in leab are comparing it to the libraries listed below
Sorting:
- Buy Till You Die and Customer Lifetime Value statistical models in Python.β116Updated 11 months ago
- π Explain why metrics change by unpacking themβ38Updated 2 weeks ago
- Example usage of scikit-htsβ57Updated 2 years ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.β41Updated last year
- Fast Bayesian A/B and Multivariate testing.β36Updated 2 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard includedβ28Updated 3 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for β¦β107Updated 3 years ago
- A simple to use AB testing framework that lets anyone perform bayesian data analysisβ20Updated 6 months ago
- A library for Time Series EDA (exploratory data analysis)β69Updated 9 months ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithmβ60Updated 8 months ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoostβ90Updated last year
- Developmental tools to detect data driftβ16Updated last year
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.β77Updated last year
- Pipeline components that support partial_fit.β46Updated 9 months ago
- A full example for causal inference on real-world retail data, for elasticity estimationβ50Updated 3 years ago
- SciKIt-learn Pipeline in PAndasβ42Updated last year
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variablesβ66Updated last year
- Kedro Plugin to support running workflows on Kubeflow Pipelinesβ53Updated 8 months ago
- Prune your sklearn modelsβ19Updated 6 months ago
- Python package for Bayesian Tests / AB Testingβ40Updated 4 years ago
- Hierarchical Time Series Forecasting with a familiar APIβ224Updated 2 years ago
- scikit-learn compatible tools for building credit risk acceptance modelsβ99Updated 3 months ago
- An abstraction layer for parameter tuningβ35Updated 8 months ago
- This project introduces Causal AI and how it can drive business value.β46Updated 8 months ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning systemβ77Updated 2 years ago
- Autoregressive Bayesian linear modelβ21Updated 4 years ago
- My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable anβ¦β30Updated 2 years ago
- A library to find and visualise the most interesting slices in multidimensional dataβ108Updated last month
- implementation of Cyclic Boosting machine learning algorithmsβ88Updated 8 months ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.β65Updated 3 months ago