How to use Bayesian Inference for predictions in Python

The beauty of Bayesian statistics is, at the same time, one of its most annoying features: we often get answers in the form of “well, the number is somewhere between…”

If on one hand, this might be frustrating to business strategists or policymakers looking for straightforward guidance, it is also a fantastic way to know how wrong you can be.

To start with a simple example, let us say that we are given the task of …

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