Trending Courses

Vendors

Skip Navigation Links

Overview

This course presents advanced models to predict categorical and continuous targets. Before reviewing the models, data preparation issues are addressed such as partitioning, detecting anomalies, and balancing data. The participant is first introduced to a technique named PCA/Factor, to reduce the number of fields to a number of core fields, referred to as components or factors. The next units focus on supervised models, including Decision List, Support Vector Machines, Random Trees and XGBoost. Methods are reviewed to combine supervised models and execute them in a single run, both for categorical and continuous targets.

img-course-overview.jpg

What You'll Learn

  • Preparing data for modeling 
  • Reducing data with PCA/Factor 
  • Creating rulesets for flag targets with Decision List 
  • Exploring advanced supervised models 
  • Combining models 
  • Finding the best supervised model 

Who Should Attend

  • Business Analysts
  • Data Scientists
  • Users of IBM SPSS Modeler responsible for building predictive models
img-who-should-learn.png

Prerequisites

  • Familiarity with the IBM SPSS Modeler environment (creating, editing, opening, and saving streams).
  • Familiarity with basic modeling techniques, either through completion of the courses Predictive Modeling for Categorical Targets Using IBM SPSS Modeler and/or Predictive Modeling for Continuous Targets Using IBM SPSS Modeler, or by experience with predictive models in IBM SPSS Modeler.

Learning Journey

Coming Soon...

1. Preparing data for modeling

  • Address general data quality issues
  • Handle anomalies
  • Select important predictors
  • Partition the data to better evaluate models
  • Balance the data to build better models

2. Reducing data with PCA/Factor

  • Explain the idea behind PCA/Factor
  • Determine the number of components/factors
  • Explain the principle of rotating a solution

3. Creating rulesets for flag targets with Decision List

  • Explain how Decision List builds a ruleset
  • Use Decision List interactively
  • Create rulesets directly with Decision List

4. Exploring advanced supervised models

  • Explain the principles of Support Vector Machine (SVM)
  • Explain the principles of Random Trees
  • Explain the principles of XGBoost

5. Combining models

  • Use the Ensemble node to combine model predictions
  • Improve model performance by meta-level modeling

6. Finding the best-supervised model

  • Use the Auto Classifier node to find the best model for categorical targets
  • Use the Auto Numeric node to find the best model for continuous targets

This course is not associated with any Certification.

Frequently Asked Questions (FAQs)

  • Why get IBM certified?

    IBM certifications validate your skills and expertise in a wide range of technologies, including hybrid cloud, data & AI, security, IT infrastructure, and business applications.

    These certifications are globally recognized and can help you advance your career, increase your earning potential, and demonstrate your commitment to professional development.

    IBM-certified professionals are in high demand, making them valuable assets to any organization seeking to leverage IBM's innovative solutions.

  • What to expect for the examination?

    IBM offers a variety of certification exams at different levels (Basic, Intermediate, and Advanced) covering various technologies and job roles.

    Exams typically consist of multiple-choice questions and may include scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by IBM from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is IBM certification valid for?

    The validity period of IBM certifications varies. Some certifications, particularly those focused on specific product versions or technologies, may have expiration dates.

    However, many IBM certifications, especially those focused on broader skills or newer technologies, do not have an expiration date.

    Note: Certification requirements and policies may be updated by IBM from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

Keep Exploring

Course Curriculum

Course Curriculum

Training Schedule

Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

img-improve-career.jpg

Improve yourself and your career by taking this course.

More Courses By IBM

Browse All Courses
es90g-advanced-parallel-sysplex-operations-and-recovery-workshop-training
System Z

Advanced Parallel Sysplex Operations and Recovery Workshop

ES90G - Advanced Parallel Sysplex Operations and Recovery Workshop
ILT VILT
Course Duration 5 Days
b6258g-ibm-cognos-analytics-author-reports-fundamentals-v11
IBM Analytics

IBM Cognos Analytics: Author Reports Fundamentals v11.1.x

This course provides authors with an introduction to build reports using Cognos Analytics.
ILT VILT
Course Duration 3 Days
esb3g-ibm-z-os-management-facility-implementation-and-use-2-1-training
System Z

IBM z/OS Management Facility Implementation and Use 2.1

This course is designed to provide you with the skills required to install and customize, and use the functions and features provided by z/OSMF.
ILT VILT
Course Duration 3 Days
img-get-info.jpg

Ready to Take Your Business from Great to Awesome?

Level-up by partnering with Trainocate. Get in touch today.

Name
Email
Phone
I'm inquiring for

Inquiry Details

By providing your contact details, you agree to our Privacy Policy.

Stay Connected. Be the first to Know.

Company

Vendors

Services

Customer Service

© Copyright Trainocate 2024. All rights reserved.