Discover best practices for unit testing in data science with this informative 45-minute talk by Dr. Nile Wilson. Learn how to bridge the gap between software engineering and data science by applying unit testing techniques to complex data science code. Explore real-world applications, practical use cases, and step-by-step guidance on implementing unit tests for data, model training, and evaluation. Gain insights into key takeaways, helpful tools, and common scenarios like mocking data calls. Perfect for MLOps professionals, those productionalizing data, or anyone looking to improve their data science code quality and reliability.
Overview
Syllabus
Introduction
Unit Testing in Data Science vs Dev
Real-World Applications
Use Case and How To
Key Takeaways
Tools That Help
QnA
Taught by
Data Science Dojo
