The tutorial goes into great depth of how to build a real-world ML system. Pau's breakdowns of complex topics made it extremely easy to follow along, and it was totally worth the money. Extremely great course, I totally recommend it for anyone who wants a hands-on approach to learn how to build a real-world ML application.
This course contains a real-world example with clean code and explanations to help you build and get experience with real-world, end-to-end ML applications. The teacher is confident and knows how to explain complex concepts, so I recommend this course!
Save your time and accelerate your learning with @paulabartabajo_’s tutorial.
A rare in-depth tutorial that guides you through a real business problem with real data.
From data preparation to model prototyping and deployment using MLOps best practices.
Indeed, even before completing the tutorial you'll acquire the necessary confidence to construct real-world machine learning services. This tutorial is a valuable investment of both time and money. Its worth extends beyond the exceptional content it provides, as it also grants you access to a community of machine learning engineers. This community is a platform where you can seek assistance, share insights, and further your learning journey.
I enthusiastically recommend this tutorial to all aspiring machine learning engineers. The benefits are dual: not only will you gain practical tooling skills, but you'll also delve into demand prediction, a topic of significant relevance in today's data-centric world.