Pinned

1. Made-With-ML Public

   Learn how to responsibly develop, deploy and maintain production machine learning applications.

   Jupyter Notebook 32.8k 5.4k

2. mlops-course Public

   A project-based course on the foundations of MLOps to responsibly develop, deploy and maintain ML.

   Jupyter Notebook 2.1k 384

3. testing-ml Public

   Learn how to create reliable ML systems by testing code, data and models.

   Jupyter Notebook 54 3

4. monitoring-ml Public

   Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.

   Jupyter Notebook 43 4

5. feature-store Public

   Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.

   Jupyter Notebook 28 1

6. data-engineering Public

   Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.

   Jupyter Notebook 117 15