1h 16m • COURSE

Many data science specialists are looking to pivot toward focusing on machine learning. This course covers the essentials of machine learning, including predictive analytics and working with decision trees. Explore several popular tree algorithms and learn how to use reverse engineering to identify specific variables. Demonstrations of using the IBM SPSS Modeler are included so you can understand how decisions trees work. This course is designed to give you a solid foundation on which to build more advanced data science skills.

Topics include: • Using the SPSS Modeler • Building a CHAID model • Adding a second model with C&RT • Analysis notes • Using a lift and gains chart • Exploring algorithms • Building a tree interactively • The Bonferonni adjustment • Handling nominal, ordinal, and continuous variables • Examining the CHAID tree • The Gini coefficient • Weighing purity and balance • Understanding pruning • Examining the C&RT tree • Applying stopping rules • Using the Auto Classifier tuning trick