A/B Testing in Python : A Step-by-Step Guide

A/B tests, often known as randomised controlled trials, is the gold standard for proving causal inference. The Python Data Science course contains additional information on A/B testing in Python. Before implementing the treatment, RCTs rigorously account for the randomization process and guarantee equitable distributions across factors. As a result, the intervention is to blame for the mean difference between the treatment and control groups.