Data Science Practice Lead
Just creating predictive models is never enough. Models must be evaluated for how well they perform, and what value they can bring to the business. There are many measures of what “good” is, and understanding how they can be used makes the difference in the success of your data science project.
This session will cover practical ways to evaluate predictive models, as well as processes and concepts to make sure your predictive models are sound. As well, this session will discuss ways to make your models more applicable and understandable to the business.