How to use Bayesian Inference for predictions in Python

<p>The beauty of Bayesian statistics is, at the same time, one of its most annoying features: we often get answers in the form of &ldquo;well, the number is somewhere between&hellip;&rdquo;</p> <p>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.</p> <p>To start with a simple example, let us say that we are given the task of finding the distribution of heights of students in a high school classroom. Maybe this school requires a uniform, and the uniform company wants to have some sense of how many uniforms of each size to produce, and knowing the distribution of heights will allow us to know what sizes to make.</p> <p><a href="https://towardsdatascience.com/how-to-use-bayesian-inference-for-predictions-in-python-4de5d0bc84f3"><strong>Website</strong></a></p>