Learn How to Perform A/B Tests in Python

A/B tests are an experimentation technique widely used in the world of digital marketing and data analysis to determine which version of an element (such as a landing page or an ad) is most effective in achieving a specific goal, such as increasing conversions or website dwell time. <h1>What is an A/B Test?</h1> Before we dive into the details of how to perform A/B tests in Python, it’s important to understand what an A/B test is and how it works. In an A/B test, you create two versions of an element and randomly show them to users. You then monitor user interactions with each version and compare the results to determine which version is more effective. <a href="https://medium.com/@panData/learn-how-to-perform-a-b-tests-in-python-6e3cdc00f6a9">Read More</a>