a-b-testing

Awesome List of resources on Agile Software Development.

FeatureHub - cloud native feature flags, A/B testing and remote configuration service. Real-time streaming feature updates. Provided with Java, JavaScript, Go, .Net, Android and Flutter SDKs.

OpenFlag is an open-source feature flagging, A/B testing, and dynamic configuration service

Django-google-optimize is a Django application designed to make running server side Google Optimize A/B tests easy.

Feature flagging API used for operational rampups and A/B testing

Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.

A/B Testing Package for Neos

🧪 A/B Testing, Canary Release & White Labeling Demo with Interchangeable Components

Dynamic page content container for PHP 5.3 though PHP 7 and HHVM. Change the background color, headline text, hero image or any combination of elements by assigning query string parameters to a specific value. Also gracefully resolves a value when errors occur.

A/B test sample size calculator

Data Analysis and Machine Learning with Python to Solve Business Problems. Implemented with different case studies

This is the fourth project in my data analyst nanodegree , it convers the pactical statistics skills such as : A/B testing and regression

Variant Experience Server Demo Application (Java Server Stack)

SQL & A/B / Hypothesis Testing to inform business intelligence

📊📈 A/B testing variant simulation using Cloudflare Workers, JavaScript, HTML Rewriters and Wrangler

📲🗜Experience how to implement Machine Learning for A/B Testing,Create a Split Object, and then Extract the Training and Testing sets🖥

project in Udacity Data Analysis nanodegree program. Focus on probability-distributions, A/B-testing and regression models.

Natural language processing and annotation pipeline for rapid text exploration, annotation and machine teaching.

Marketing Analytics - A/B Test Performance

For this project, we will be working to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product. Our goal is to work through this notebook to help the company understand if they should implement this new page, keep the old page, or perhaps run the experiment longer to make their decision.

Ten Retail Data Analytics Projects, Heavy Focus on ML. Emphasis on consumer behavior.

Servlet Adapter for Variant Java Client

🆎 PHP Bucket Testing, A/B testing, split testing

A-B testing of gate placement's effect on player retention

A major issue with traditional, statistical-inference approaches to A/B Testing is that it only compares 2 variables - an experiment/control to an outcome. The problem is that customer behavior is vastly more complex than this. Customers take different paths, spend different amounts of time on the site, come from different backgrounds (age, gender, interests), and more. This is where Machine Learning excels - generating insights from complex systems.

Fetch experiments reports from Google Analytics API using R

A repository on running an A/B test to identify the impact on brand awareness created by running a personalized advertisement by SmartAd as opposed to a generic advertisement

Standard Extensions for Variant Experiment Server