This repository provides code and lessons for building and deploying production-ready machine learning applications.
The Made With ML course guides you from initial design and development through to deployment and iteration using practical examples. You'll use Jupyter Notebooks to illustrate software engineering best practices for ML, allowing you to follow along with lessons on `madewithml.com` and experiment with the provided code.
This repository provides code and lessons for building and deploying production-ready machine learning applications.
Developers looking to learn the full lifecycle of machine learning model development and deployment.