![]() The Data Preparation Phase discusses how to integrate and construct data. We will also focus on describing, exploring, and assessing data quality. We will discuss how to read data into Modeler. The Data Understanding Phase addresses the need to understand what your data resources are and the characteristics of those resources. You will also learn about the CRISP-DM methodology which will serve as a guide throughout the course and you will also learn how to navigate within Modeler. The Introduction to Data Mining Phase is designed to get you up to speed on the idea of data mining. Each video consists of detailed instructions explaining why we are using a technique, in what situations it is used, how to set it up, and how to interpret the results. The series of stand-alone videos, are designed to introduce students to specific nodes or data mining topics. Overview: This course introduces students to data mining and to the functionality available within IBM SPSS Modeler. Analysts typically use SPSS Modeler to analyze data by doing data mining and then deploying models. ![]() ![]() IBM SPSS Modeler is a data mining workbench that helps you build predictive models quickly and intuitively, without programming.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |