In this video we create and explore a variety of predictive models, including classification and regression trees, Bootstrap Forests, Boosted Trees, neural networks, and penalized regression models (Lasso and Elastic Net). We discuss modeling for unbalanced responses, and show how to change the cutoff for model classification. We also see how to use the Formula Depot to compare competing models, select the best model, and write scoring code (C, Python, SAS,…) for model deployment. A quick introduction to mining unstructured text data with the Text Explorer platform is also provided.