Alternatives and similar repositories for ab-testing

Users that are interested in ab-testing are comparing it to the libraries listed below

• renatofillinich / ab_test_guide_in_python
  ☆99Updated 3 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆144Updated 3 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 7 years ago
• bondicrypto / AB_Testing
  Implementing A/B Tests in Python
  ☆29Updated 6 years ago
• jerednel / markov-chain-attribution
  A PoC for a fractional attribution model leveraging first order Markov Chains.
  ☆85Updated last year
• carl24k / fight-churn
  Code from the book Fighting Churn With Data
  ☆311Updated 6 months ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆83Updated 8 years ago
• PacktPublishing / Hands-On-Data-Science-for-Marketing
  Hands-On Data Science for Marketing, published by Packt
  ☆257Updated 9 months ago
• FrancescoCasalegno / AB-Testing
  A/B Testing — A complete guide to statistical testing
  ☆178Updated 3 years ago
• sithankanna / ultimate-product-ds
  The Ultimate Product Data Science & Analytics Resource
  ☆69Updated 4 years ago
• AntonsRuberts / datascience_marketing
  Here I'll publish all of my personal projects that relate to Data Science in Marketing
  ☆50Updated 5 years ago
• joshxinjie / Data_Scientist_Nanodegree
  ☆77Updated 7 years ago
• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated 2 months ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆423Updated last year
• juanitorduz / ml_prod_tutorial
  Explore tips and tricks to deploy machine learning models with Docker.
  ☆13Updated 2 years ago
• datarobot-community / tutorials-for-data-scientists
  ☆81Updated 2 years ago
• GoogleCloudPlatform / tensorflow-lifetime-value
  Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.
  ☆171Updated 3 weeks ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆60Updated 7 years ago
• loldja / loldja.github.io
  Data science blog
  ☆33Updated 7 years ago
• gaganmanku96 / Docker-Tutorial---Data-Scientists
  ☆27Updated 6 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆135Updated last year
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆185Updated last year
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆66Updated 3 years ago
• takechanman1228 / mmm_pydata_global_2022
  ☆28Updated 2 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆72Updated 5 years ago
• datarobot-community / examples-for-data-scientists
  ☆63Updated last year
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 3 years ago
• iamcici0424 / Marketing-Mix-Models
  This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…
  ☆26Updated 4 years ago
• BuissonFlorent / BehavioralDataAnalysis
  Support files for the O'Reilly book "Behavioral Data Analysis with R and Python" by Florent Buisson
  ☆93Updated 2 years ago