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Decision Tree Modeling Using R- Edureka

Edureka
Life Time Access Online
Intermediate Any Time
Online Business Analytics
Online Self Paced 44
DescriptionProgram StructureEligibilityContact

This course let you understand the Anatomy of Decision tree. It cover basic concepts like the Need for a model and Data design along with advance techniques like Regression Tree, Pruning, CHAID and CART algorithms which helps in becoming a Predictive analytics expert.

  • Introduction to Decision Tree
  • Data design for Modelling
  • Data treatment before Modelling
  •  Classification of Tree development and Algorithm details
  • Industry practice of Classification tree-Development, Validation and Usage
  • Regression Tree and Auto Pruning
  • CHAID Algorithm
  • Other Algorithms

Who should go for this course?

  • Developers who want to become Data Scientist
  • Analytics Consultants
  • R / SAS / SPSS Professionals
  • Data Analysts
  • Information Architects and Data Engineers
  • Statisticians

Duration: Lifetime Access

Mode: Online Self-paced

Fees: INR 4,249

Basic knowledge of R programming language

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