This is the second video in a series on building Gradient Boosting Models. We will discuss the goals of the model-building process and strategies to accomplish those goals. We then begin working hands-on to demonstrate how to explore and interrogate data to further your understanding of the dataset. We will use the Ames housing dataset as an example to work through. Github: https://github.com/numeristical/resources/blob/master/Building_GB_Models/BuildGBModel.ipynb