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Course content

About Decision Tree Modeling Using R Certification

  • 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?

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    •   Career Growth Opportunities
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    TRAINING FEATURES

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    Instructor-led Sessions

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    Real-life Case Studies

    Gain practical insights through case studies based on real-world industry applications, helping bridge the gap between theory and practice.

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    Assignments

    Enhance your analytical skills and understanding with hands-on assignments designed to reinforce key concepts and practical application.

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    Lifetime Access

    Enjoy unrestricted access to course materials for a lifetime, allowing you to learn and revisit topics at your own pace.

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    24/7 Expert Support

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    Track Week Days Course Duration Fast Track
    Week Days 40-45 Days 2 Hrs. Per Day Online
    Course Duration 7 Weekends 3 Hrs. Per Day Online
    Fast Track 8 Days 6+ Hrs. Per Day Online

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    Students Reviews

    Explore authentic student feedback on ZebLearn’s expert-led SAP training and foreign language courses. Discover success stories from learners who earned certifications, enhanced their skills, and advanced their careers!

    Nisha Patel
    Predictive Analytics Specialist
    Zeblearn Indias Decision Tree Modeling Using R Certification course exceeded my expectations. The detailed instruction and hands-on practice with R made it easier for me to build and evaluate decision trees, which has greatly benefited my work in predictive analytics.
    Ravi Kumar
    Data Analyst
    The Decision Tree Modeling Using R Certification course was exceptionally well-organized. The course content was thorough, and the practical exercises using R provided a solid foundation in decision tree modeling, which has been instrumental in my data analysis projects.
    Amit Verma
    Business Intelligence Analyst
    I found the Decision Tree Modeling Using R Certification course to be very insightful. The training covered everything from basic concepts to advanced decision tree techniques, allowing me to enhance my analytical skills and make data-driven decisions.
    Kavita Sinha
    Data Scientist
    The Decision Tree Modeling Using R Certification course from Zeblearn India was highly valuable. The course provided a deep dive into decision tree techniques with R, and the practical exercises helped me apply these methods effectively to real-world data.
    Sanya Gupta
    Quantitative Analyst
    Zeblearn Indias course on Decision Tree Modeling Using R was fantastic. The comprehensive training on decision trees and the hands-on practice with R helped me develop a strong understanding of the technique, enhancing my ability to analyze and interpret complex datasets.

    Decision Tree Modeling Using R Certification Training Program - Flexible batches for you

    Date Type Schedule Time
    SOLD OUT 18 June 2025 Weekend SAT - SUN (08 Week) 18:00 To 20:00
    Filling Img 23 June 2025 Weekday MON - FRI (08 Week) 08:00 To 10:00
    28 June 2025 Weekend MON - FRI (08 Week) 10:00 To 00:00

    Price  1,20,000

    Now  95,000

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