A feature-rich library for running Bayesian A/B tests
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Updated
Sep 16, 2024 - Python
A feature-rich library for running Bayesian A/B tests
The simulation of Epsilon-Greedy and Thompson Sampling algorithms for Bayesian A/B Testing. The project shows how both algorithms find the optimal bandit and approximate the rewards of each bandit, given the true reward. Visualizations are done to demonstrate the learning process and convergence.
Bayesian AB testing in python
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