Lunch&&Learn - How to Know What Your Model Knows: An Introduction to Validation


‘All models are wrong, but some are useful’ is one of the most quoted phrases in data science, but how do we even know if a model is useful? This talk will introduce you to the tools used to validate models. We will also discuss the two most common challenges when it comes to validating a model: data leakage and optimization bias. All examples will be in Python3, Jupyter and Sci-Kit Learn.

401 West Georgia Street, Vancouver, BC