In this workshop, you'll learn how to use modeling techniques to uncover patterns and make predictions. We'll cover Linear Regression and how to use geography to calibrate prediction factors, as well as Forest-based Classification and Regression, a tool that makes machine learning methods accessible to maximize the accuracy of predictions. You'll also learn about Presence-Only Prediction, a tool that uses known presence locations to predict the location of phenomena using maximum entropy. Finally, we'll cover how to streamline prediction workflows by saving and sharing trained models.