Only public, real datasets will be used. Only when a suitable public dataset cannot be found to provide utility to the topic at hand, will a reasonable modification be introduced. Example: introducing noise, bias, or nullity.
The code for each post will be complete, tested, and easily shareable. "Shareable" means easily found, cloned, and built.
The blog should aim to fill the perceived void of "advanced" applications of data science, ML engineering, and MLOps.
Write introductory blog post explaining who I am, why I am writing this blog, and what type of content / topics will be covered.