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
  ☆142Updated 3 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year
• AntonsRuberts / datascience_marketing
  Here I'll publish all of my personal projects that relate to Data Science in Marketing
  ☆49Updated 5 years ago
• pleonova / ab-testing
  Jupyter notebook templates for running and evaluating website ABn tests.
  ☆25Updated 7 years ago
• datarobot-community / examples-for-data-scientists
  ☆63Updated last year
• Acrotrend / Awesome-Customer-Analytics
  A curated list of awesome customer analytics content
  ☆98Updated 7 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆73Updated 5 years ago
• solegalli / deploying-machine-learning-models
  Example Repo for the Udemy Course "Deployment of Machine Learning Models"
  ☆20Updated 5 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆74Updated 4 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆83Updated 8 years ago
• ttzt / catalog_of_requirements_for_ai_products
  The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and produc…
  ☆130Updated 4 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 3 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆136Updated last year
• datarobot-community / tutorials-for-data-scientists
  ☆81Updated 2 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆64Updated 2 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆45Updated 6 years ago
• HamzaBendemra / Employee-Churn-Predictive-Model
  Predicting Employee Churn with Supervised Machine Learning
  ☆63Updated 4 years ago
• ASOS / dsf2020
  Data Science Festival Workshop 7 November 2020 – Building a fashion recommender using Tensorflow/Keras with ASOS.
  ☆26Updated 5 years ago
• PacktPublishing / Hands-On-Data-Science-for-Marketing
  Hands-On Data Science for Marketing, published by Packt
  ☆252Updated 6 months ago
• carl24k / fight-churn
  Code from the book Fighting Churn With Data
  ☆301Updated 3 months ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆183Updated last year
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 7 years ago
• sithankanna / ultimate-product-ds
  The Ultimate Product Data Science & Analytics Resource
  ☆69Updated 3 years ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆419Updated last year
• jmwoloso / pychattr
  Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library
  ☆59Updated 3 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 3 months ago
• mukulsinghal001 / customer-lifetime-prediction-using-python
  What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…
  ☆154Updated 2 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆49Updated 7 years ago