Predicting Continuous Targets Using IBM SPSS Modeler (V16) SPVCIBM
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Häufig gestellte Fragen
You should have completed:
- Introduction to IBM SPSS Modeler and Data Mining (V16)
You should have:
- Experience using IBM SPSS Modeler, including familiarity with the IBM SPSS Modeler environment, creating streams, importing data (Var. File node), basic data preparation (Type node, Derive node, Select node), reporting (Table node, Data Audit node), and creation of models.
Was lernen Sie in diesem Kurs?
Predicting Continuous Targets Using IBM SPSS Modeler (V16) is an intermediate level course that provides an overview of how to use IBM SPSS Modeler to predict a target field that describes numeric values. Students will be exposed to rule induction models such as CHAID and C&R Tree. They will also be introduced to traditional statistical models such as Linear Regression. Machine learning models will also be presented. Business use case examples include: predicting the length of subscription (for newspapers, telecommunication, job length, and so forth) and predicting claim amount (insurance).
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.
Training Paths that reference this course are:
- IBM SPSS Modeler – Analyst
Erfolge des Zentrums
Please refer to the Course Overview for description information.