A/B testing and Fitts’ Law for Touch Screens

Fetch experiments reports from Google Analytics API using R

Projects done as part of data analyst degree at udacity

I'm running an A/B test for an e-commerce website and working to understand if they should implement the new page, keep the old page, or maybe even run the experiment longer to make the decision.

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

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

Udacity - Data Analyst Nanodegree (Dec 16' - May 17') Projects

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

Repo of udemy bayesian machine learning A/B test

📲🗜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.

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

The A/B test will help determine if an e-commerce website will generate more revenue from implementing a new website.

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, gend…

Couillard is a small trebuchet you aim and launch at your users.

Part of Udacity's Data Analyst Nanodegree, A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these.

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

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