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Course content

About Decision Tree Modeling Using R Certification Training Program

  • Section Overview
  • Need of a Decision Tree
  • Anatomy of a Decision Tree
  • Gain From a Decision Tree
  • KS of a Decision Tree
  • Business Application of a Decision Tree
  • Definitions Related to Objective Segmentation
  • Decision Tree vs Logistic Regression
  • Check Basic Understanding of Decision Tree
  • Model Design in Principal
  • Model Design Precautions
  • Model Design Outcome
  • Performance Window Design
  • Check Basic Understanding of Model Design
  • Understand the Data for Demo
  • View Resource to Download Files
  • How to Download Excel Files, R Program, etc.
  • Install R and R Studio
  • First Decision Tree in R
  • Second Decision Tree in R
  • About New Additions in the Course Work
  • Intuitive Understanding of Numeric Variable Split
  • GINI Index of a Node
  • GINI Index of a Split
  • CART in Action: Decide Which Variable and Its Value for the Split
  • Practical Approach to Decision Tree Development
  • Some Practical Situations of Decision Tree Model Validation
  • Implementing Decision Tree Model
  • Auto Pruning Technique of Decision Tree Development Part 1
  • K-Fold Cross Validation
  • Auto Pruning Using R
  • Developing Regression Tree Using R
  • Interpret Regression Tree Output
  • Another Regression Tree Using R
  • Practical Usage of Regression Tree - Demo Part 1
  • Practical Usage of Regression Tree - Demo Part 2
  • Practical Usage of Regression Tree - Assignment
  • Practical Usage of Regression Tree - Assignment Solution
  • Linear Regression vs Regression Tree
  • CHAID Algorithm
  • CHAID vs CART
  • Check Basic Understanding of Algorithm Behind Decision Tree
  • FAQ - For Algorithm Behind Decision Tree Section
  • Section PDF
  • Appendix Content - Chi Square Statistic
  • Appendix Content - Feel the Chi Square Statistic
  • Appendix Content - Degree of Freedom of a Cross Tab
  • Appendix Content - Chi Square Distribution
  • Entropy of a Node
  • Entropy of a Split
  • ID3 Method
  • Random Forest Method
  • R Syntax for Random Forest
  • Ensemble Learning - Bagging and Boosting
  • Check Basic Understanding of Algorithm Behind Decision Tree  
  • Section FAQ - Other Algorithms of Decision Tree
  • Introduction to Gradient Boosting
  • Why Should You Learn Decision Tree Modeling Using R Certification Training?

    The annual salary of an Decision Tree Modeling Using R Certification is $125k.

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    What you will get at Zeblearnindia Learning?

    Zeblearnindia Learning is a premier institute offering training in SAP Online Courses, Web Designing, Data Science, Full-Stack Development, Salesforce, Workday, Machine Learning, Software Testing, and Video Editing. With the option to choose between online and offline (classroom) learning, our well-structured courses cater to students, working professionals, business owners, and entrepreneurs. Here’s what you can expect at Zeblearnindia Learning:

    •   Expert-Led Training
    •   Globally Recognized Certifications
    •   100% Job Placement Support
    •   Hands-On Learning
    •   Flexible Learning Options
    •   Affordable Course Fees
    •   Career Growth Opportunities
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    () 60 Minutes WEBINAR with CERTIFICATE

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