This credential earner has completed instructor-led learning for understanding advanced models in IBM SPSS Modeler, including the PCA/Factor technique to reduce the number of fields to a number of core factors, (i.e. components or factors). Topics include supervised models - Support Vector Machines, Random Trees and XGBoost; Text data analysis methods; Combining individual models into a single model; and Enhancing the power of IBM SPSS Modeler by adding external models, developed in Python or R.

• Type Learning
• Level Advanced
• Time Hours
• Cost Paid