In this hands-on workshop you will learn how to use Python to discover useful patterns in your data and to make accurate predictions. Topics will include data preparation, automated variable selection, cross-validation methods, and several popular modeling approaches including decision trees and neural networks. We will use the popular sci-kit learn and yellow brick package which integrates the various steps and standardizes them across many modeling methods.