Advanced Machine Learning Models Using IBM SPSS Modeler (V18.2) - Code: 0A039G
Issued by
IBM
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
Skills
Earning Criteria
Standards
IBM instructor-led training is provided globally by authorized training providers using experienced instructors with real-world knowledge. Students are evaluated by the instructor during the course on metrics tied to attendance, lecture engagement and demonstrated completion of lab assignments to determine eligibility for earning this credential.