Recently, Angela Lin and Jeremy Shih participated in a Podcast.__init__ episode where they talked about EvalML, an automated machine learning library written in Python. They describe what automated machine learning really is and talk about the use cases EvalML solves, as well as many other topics.
You can listen to it below!
If you’d like to see a couple of additional demos of EvalML, check out our videos showing how to use it for predicting housing prices and customer churn.
