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Predictive Modeling Using SAS Enterprise Miner

( Duration: 3 Days )

This Predictive Modeling Using SAS Enterprise Miner training course covers advanced topics using SAS Enterprise Miner including how to optimize the performance of predictive models beyond the basics. The course continues the development of predictive models that begins in the Applied Analytics Using SAS Enterprise Miner course, for example, by making use of the two-stage modeling node. In addition, some of the newest modeling nodes and latest variable selection methods are covered.

  • Have some experience with creating and managing SAS data sets
  • Have some experience building statistical models using SAS/STAT software
  • Have completed a statistics course that covers linear regression and logistic regression.

The Predictive Modeling Using SAS Enterprise Miner class is ideal for:

  • Advanced predictive modelers who use Enterprise Miner

COURSE AGENDA

1

SAS Enterprise Miner Prediction Fundamentals

  • SAS Enterprise Miner prediction setup
  • Prediction basics
  • Constructing a decision tree predictive model
  • Running the regression node
  • Training a neural network
  • Comparing models with summary statistics
2

Advanced Methods for Unsupervised Dimension Reduction

  • Describe principal components analysis
  • Describe variable clustering
3

Advanced Methods for Interval Variable Selection

  • Explain how to use partial least squares regression in SAS Enterprise Miner
  • Use LAR/LASSO for variable selection
4

Advanced Methods for Nominal Variable Selection and Model Assessment

  • Implementing categorical input recoding
  • Creating empirical logit plots
  • Implementing all subsets regression
5

Advanced Predictive Models

  • Describe the basics of support vector machines
  • Use the HP Forest node in SAS Enterprise Miner to fit a forest model
  • Modeling rare events
  • Use the Rule Induction node in SAS Enterprise Miner
6

Multiple Target Prediction

  • Appraising model performance
  • Defining a generalized profit matrix
  • Creating generalized assessment plots
  • Using the Two-Stage Model node
  • Constructing component models
7

Tips and Tricks with SAS Enterprise Miner

  • Using the Open Source Integration node
  • Reusing metadata

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting https://www.encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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