A/B test with python (Bandit)

In this article, I am going to write a Bayesian Bandit algorithm. import matplotlib.pyplot as plt import numpy as np from scipy.stats import beta NUM_TRIALS = 2000 BANDIT_PROBABILITIES = [0.2, 0.5, 0.75] Bandit probabilities are divided into three value just in case. Quick favorite. Trial number is…