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Classroom Contents
A Guide to A/B Testing as a Data Scientist
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- 1 Introduction
- 2 Experiment Definition
- 3 Create Dataset for A/B Test
- 4 Hypothesis Testing
- 5 Issue of Interpretability
- 6 Bayesian Testing: Constructing Prior
- 7 Bayesian Testing: Constructing Posterior
- 8 Introducing a Continuous Metric: Prices
- 9 Understand Pricing Distributions
- 10 Add prices to dataset
- 11 Bayesian Math
- 12 Coded Math
- 13 Construct Priors, Posteriors
- 14 Interpret Results for Continuous Metric
