Mastering and Tuning Decision Trees

IBM SPSS Modeler Seminar Series
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TAUGHT BY
  • Sandy Midili Business Analytics Training Manager

    I have been the Business Analytics Training Manager at QueBIT Consulting since 2006. I am a certified technical trainer and am certified in IBM Cognos products. I can assist you with coordinating a specific training program that will meet your organization's specific educational goals. In addition, I also provide training in:

    • IBM Cognos Business Intelligence
    • IBM Cognos TM1
    • IBM Cognos Planning
    • IBM Cognos Finance

    QueBIT's training program is unique because we can tailor our material to your application and make sure we cover the concepts important to you and your personnel. We don't only teach you how to use the solution, but also guide you with proven best practices and tips and instruct you on how to problem solve issues enabling you to become self-sufficient with the tool.

    Prior to joining QueBIT, I was a Financial Performance Instructor for Cognos Corporation. During my seven year tenure, I also became a third-level support specialist for Cognos Finance and Cognos Planning.

WHAT'S INSIDE
  • Lifetime access to 24 lectures
  • 3+ hours of high quality content
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Mastering and Tuning Decision Trees

IBM SPSS Modeler Seminar Series
0 reviews

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COURSE DESCRIPTION

IBM SPSS Modeler is a data mining workbench that allows you to build predictive models quickly and intuitively without programming. Analysts typically use SPSS Modeler to analyze data by mining historical data and then deploying models to generate predictions for recent (or even real-time) data.

Overview: Mastering and Tuning Decision Trees is a series of self-paced videos that discusses the decision tree methods (CHAID, C5.0, CRT, and QUEST) available in IBM SPSS Modeler. These techniques produces a rule based predictive model for an outcome variable based on the values of the predictor variables. Students will gain an understanding of the situations in which one would this technique, its assumptions, how to do the analysis automatically as well as interactively, and how to interpret the results. Particular emphasis is made on contrasting CHAID and C&RT in detail. Tuning – the adjusting of parameters to optimize performance – is demonstrated using both CHAID and C&RT.

    • Knowledge or experience with IBM SPSS Modeler or completion of an introductory level data mining course and on the job data mining experience.
    • Over 24 lectures and 3 hours of content!
    • Understand the theory behind classification trees
    • Differentiate between classification tree algorithms
    • Know the assumptions of classification trees
    • Learn the advantage and disadvantages of the different algorithms
    • Interpret the results
    • Anyone that has experience with IBM SPSS Modeler or has completed an introductory level data mining course and would like to learn about decision tree models.

THE UDEMY GUARANTEE

30 day money back guarantee
Lifetime access
Available on Desktop, iOs and Android
Certificate of completion

CURRICULUM

  • SECTION 1:
    Mastering and Tuning Trees Seminar
  • 1
    Characteristics of Tree Models
    02:51
  • 2
    Supervised Segmentation in Modeler
    02:59
  • 3
    Trees and Rules
    02:30
  • 4
    Defining Terms
    02:49
  • 5
    Additional Uses of Trees
    02:38
  • 6
    A First Look at the Data Set
    02:50
  • 7
    CHAID
    04:57
  • 8
    How does the CHAID algorithm work
    36:58
  • 9
    Using Autoclassifer to run multiple CHAID settings
    04:41
  • 10
    How does the C&RT algorithm work?
    12:31
  • 11
    Surrogates for Missing Data
    12:32
  • 12
    C&RT's Expert Settings
    19:14
  • 13
    CHAID Expert Settings
    09:40
  • 14
    Audience Question: How do you compare the results of two models?
    02:14
  • 15
    Should We Adjust the Models
    12:25
  • 16
    What is Bagging and Boosting?
    07:50
  • SECTION 2:
    Question and Answer Session
  • 17
    Question and Answer Introduction
    01:19
  • 18
    Optimal Binning
    05:49
  • 19
    Interactive Trees
    10:24
  • 20
    Generate Filter
    04:34
  • 21
    Decision List
    03:22
  • 22
    Decision List for Data Reduction?
    02:35
  • 23
    Does Feature Selection Take Care of Interactions in Data Reduction?
    03:46
  • 24
    Using Costs
    11:50

UDEMY BY THE NUMBERS

5,200,000
Hours of video content
19,000,000
Course Enrollments
5,700,000
Students
  • 30 day money back guarantee!
  • Lifetime Access. No Limits!
  • Mobile Accessibility
  • Certificate of Completion