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Predictive Modeling with SAS Enterprise Miner

Predictive Modeling with SAS Enterprise Miner

Modeling with SAS Enterprise Miner

updated on icon Updated on May, 2024

language icon Language - English

person icon Corporate Bridge Consultancy Private Limited

English [CC]

category icon SAS Macros,Enterprise,Development,Data Science

Lectures -59

Resources -1

Duration -9 hours

4.6

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Course Description

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.

Goals

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.

Prerequisites

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.
Predictive Modeling with SAS Enterprise Miner

Curriculum

Check out the detailed breakdown of what’s inside the course

PM SAS EM INTRO
9 Lectures
  • play icon Introduction of SAS Enterprise Miner 11:35 11:35
  • play icon Select a SAS Table 09:54 09:54
  • play icon Creating Input Data Node 12:58 12:58
  • play icon Metadata Advisor Options 08:53 08:53
  • play icon Add More Data Sources 11:01 11:01
  • play icon Sample Statistics 10:22 10:22
  • play icon Trial report 09:32 09:32
  • play icon Properties of Cluster Node 08:06 08:06
  • play icon Variable Selection 09:13 09:13
PM SAS EM VARIABLE SELECTION
13 Lectures
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SAS PM EM COMBINATION
18 Lectures
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SAS PM EM NEURAL NETWORK
14 Lectures
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SAS PM EM REGRESSION
5 Lectures
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Instructor Details

Corporate Bridge Consultancy Private Limited

Corporate Bridge Consultancy Private Limited

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