Writing Unit Tests for Data Science Code

Discover best practices for writing unit tests in data science code in this 31-minute talk by Dr. Nile Wilson, a Data Scientist at Microsoft. Learn how to effectively test complex data science processes, including data ingestion, model training, and evaluation. Explore software engineering techniques tailored for data science, focusing on common scenarios such as mocking data and API calls. Gain insights from Dr. Wilson's experience in developing production-ready machine learning solutions across various industries. Enhance your skills in creating robust and reliable data science code through practical testing strategies presented in this Data Council conference talk.

Writing Unit Tests for Data Science Code | Microsoft