Writing your First Testing Suite with pytest for your Machine Learning model

[Benjamin Bengfort]

Webinar Tonight!:

https://www.meetup.com/Predictive-Analytics-and-Data-Science-using-Spark-R-Python/events/rdsqdryzkbbc/

Description: We've all heard that we should be testing our Machine Learning models in production and getting good test coverage. This talk will give an overview of 4 types of tests: unit, integration, regression and parametrized test, via examples in pytest. You'll write more robust code in no-time, no prior testing experience necessary.

Short Bio: Dr. Irina Kukuyeva is a Principal at Kukuyeva Consulting, advising companies on data strategy, collection, implementations and hiring. She has 10+ years of experience collaborating with technical and business/clinical stakeholders, developing and productionalizing machine learning models for start-ups and large-sized companies in areas of healthcare, IoT, fashion, hospitality, market research and online advertising. Irina holds a Ph.D. in Statistics from UCLA, where she developed a novel image compression algorithm for Hubble Space Telescope's images of Jupiter. In her spare time, she enjoys mentoring adults that want to get into tech.