Demystifying Bayesian models using Bayesian linear regression

Bayesian models are very important in modern data science. These models can be used to derive estimatesfor noisy and sparse data. This manuscript outlines the basics and derivations of a Bayesian linearregression model. Source code for performing Bayesian linear regression is also provided. I hope this willenable broader understanding of the basics of Bayesian models and help demystify it for scientists.