Explore a comprehensive overview of Predictive Analytics in this 56-minute conference talk from the PASS Data Community Summit. Gain insights into four commonly misunderstood topics: data preparation, sampling, algorithm strengths and weaknesses, and model accuracy assessment. Dive into the CRISP-DM Process Model, covering business understanding, data understanding, data preparation, modeling, and deployment steps. Learn about classifier decision boundaries, ROC curves, and the differences between Predictive Analytics and Data Science. Discover what it takes to become a Predictive Modeler and follow the Analyst's Journey through this informative session led by Dean Abbott.