Decision Tree Modeling Using R Training Overview

Decision Tree Modeling Using R Training Course Outline

Module 1: Introduction to Decision Tree

  • Decision Tree Modelling Objective
  • Anatomy of a Decision Tree
  • Important Terminology Related to Decision Trees

Module 2: Overview of R Programming

  • R Programming Language
  • Data Types
  • Control Structures in R

Module 3: Data Treatment Before Modelling

  • Data Sanity Check-Contents
  • View
  • Frequency Distribution
  • Uni-Variate
  • Categorical Variable Treatment

Module 4: Classification of Tree Development and Algorithm Details

  • Installing R Package and R studio
  • Developing First Decision Tree in R Studio
  • Find Strength of the Model

Module 5: Decision Tree Analysis in Project Management

  • Use Decision Tree in Project Management
  • Tools for Decision Tree Analysis
  • Decision Tree Analysis Strategy

Module 6: Regression Tree and Auto Pruning

  • Introduction to Pruning
  • Understand K Fold Validation for Model
  • Develop Regression Tree
  • How is it Different from Linear Regression?
  • Advantages and Disadvantages over Linear Regression

Module 7: CHAID Algorithm

  • What is CHAID/CART Algorithm?
  • Chi-Square Statistics
  • Implement Chi-Square for Decision Tree Development
  • CHAID Vs CART

Module 8: Other Algorithms

  • ID3
  • Random Forest Method
  • Using R for Random Forest Method

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Who should attend this Decision Tree Modelling Using R Training Course?

The Decision Tree Modelling Using R Training Course in the United States offers a detailed exploration of decision tree models, one of the most widely used algorithms in Machine Learning and Data Science. This course can be beneficial for various professionals, including:

  • Data Scientists
  • Machine Learning Engineers
  • Data Analysts
  • Research Scientists
  • Quantitative Researchers
  • Risk Assessment Managers
  • Predictive Modelers

Prerequisites of the Decision Tree Modelling Using R Training Course

There are no formal prerequisites for attending this Decision Tree Modelling Using R Training Course. However, having some knowledge of the R programming language will be helpful.

Decision Tree Modelling Using R Training Course Overview

Decision Tree Modelling Using R is a formidable analytical technique with wide-ranging applications across diverse industries in the United States, including finance, automotive, and telecommunications. It serves as a powerful tool for making data-driven decisions, enabling businesses to navigate complex scenarios and optimize outcomes.

Proficiency in Decision Tree Modelling Using R is essential for professionals in the United States seeking to enhance their data science skills and make informed decisions rooted in data analysis. Data scientists, business analysts, financial experts, and professionals in various industries can greatly benefit from mastering this technique. In an era where data-driven decision-making is paramount, Decision Tree Modelling equips professionals with the ability to dissect data, identify patterns, and derive actionable insights.

This intensive 1-day Decision Tree Modelling Using R Certification course in the United States immerses delegates in a comprehensive exploration of Decision Tree Modelling concepts. They will embark on a journey starting from the fundamentals of Decision Trees, progressing to advanced topics such as data design for modelling, algorithm details, industry best practices, validation techniques, and practical applications using the R programming language.

Course Objectives:

  • To Understand the fundamentals of Decision Tree Modelling
  • To Learn data treatment and frequency distribution techniques
  • To Explore Decision Tree algorithm development and pruning
  • To Gain expertise in advanced topics like Random Forest and CHAID Algorithm
  • To Acquire practical skills in using R for Decision Tree Modelling
  • To Become proficient in applying Decision Tree Modelling to real-world scenarios

By the end of this course in the United States, delegates will emerge with expertise in Decision Tree Modelling using R, empowering them to leverage this powerful tool for data analysis and informed decision-making.

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What’s included in this Decision Tree Modelling Using R Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Decision Tree Modelling Using R Certificate
  • Digital Delegate Pack

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Why choose us

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Decision Tree Modeling Using R Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Decision Tree Modeling Using R Training, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

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The training fees for certification in the United States starts from $2495
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Please see our courses available in the United States
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