Predictive Modeling with SAS Enterprise Miner
Modeling with SAS Enterprise Miner
Updated on Dec, 2023
Language - English
Duration -9 hours
Are you interested in learning and hands-on Predictive Modelling with SAS Enterprise Miner? Log on to our platform, register with us, and learn and get expertise on predictive modeling. Educba brings to you an intensive training course online with 10 + hours of HD videos, with 56 + lectures and already enrolled students. The course curriculum and areas covered are hereby described. The data sets used and the criteria with variables used are clearly explained. It is important to validate the entire model.
Predictive modeling is the process of studying the data models. To predict models a different set of methods of statistics are used .these models are made by numerous predictors. SAS enterprise miner tends to provide us with several tools for predictive modeling. the methods used in predictive modeling comes from several areas of research, including statistics, pattern recognition, and machine learning. By this course you will be able to have complete knowledge of predictive modeling with SAS enterprise miner. The trainee will study the research of different predictors and predict data according to different concepts. It is currently the most commonly used in computer science, information technology, and information services domain.
What will you learn in this course:
Understand the worth of this course of predictive modeling with SAS enterprise miner.
Skills like skill to analyze data and see a complex pattern, coding skill, and strong understanding of concepts.
What are the prerequisites for this course?
- Some of the prerequisites for this predictive modeling training course must be fulfilled otherwise the understanding of this course could become difficult for some trainees to understand, the prerequisite of this course is not very complicated, and the basic requirEMents for the course are a basic understanding of statistics is required.
Check out the detailed breakdown of what’s inside the course
PM SAS EM INTRO
- Introduction of SAS Enterprise Miner 11:35 11:35
- Select a SAS Table 09:54 09:54
- Creating Input Data Node 12:58 12:58
- Metadata Advisor Options 08:53 08:53
- Add More Data Sources 11:01 11:01
- Sample Statistics 10:22 10:22
- Trial report 09:32 09:32
- Properties of Cluster Node 08:06 08:06
- Variable Selection 09:13 09:13
PM SAS EM VARIABLE SELECTION
SAS PM EM COMBINATION
SAS PM EM NEURAL NETWORK
SAS PM EM REGRESSION
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