Decision Tree Modeling Using R Certification Training

BY
Edureka

Join the Decision Tree Modeling Using R Certification Training by Edureka and master the core concepts to become a skilled Decision Tree Modeling expert.

Mode

Online

Fees

₹ 4499 4999

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

Edureka’s Decision Tree Modeling Using R Certification training course combines theoretical and practical knowledge to make you skilled in this domain. You can obtain relevant expertise in Decision Tree Modeling using R. The programme is self-paced, comprising an online LMS with unlimited access. Therefore, you can learn at your pace and revisit the lessons any time you like. 

The Decision Tree Modeling Using R training syllabus touches upon core topics like Data design, Pruning, Regression Tree, etc., along with algorithms such as CART, CHAID, GINI, ID3, and more. To learn these in the best way possible, you’ll work on practical assignments, case studies, and study via online videos and PPTs. 

Furthermore, you can access the community forum for immersive learning. This forum will enable you to engage in peer discussions and solve common queries. On course completion, you will also be eligible for the Decision Tree Modeling Using R certificate, recognised by numerous organisations worldwide. 

The highlights

  • Practical assignments
  • Lifetime course LMS access
  • Community forum
  • Completion certificate
  • Real-time case studies
  • Resume builder 
  • PPTs
  • Projects
  • Videos
  • Expert educators

Program offerings

  • Industry-experienced educators
  • Certification
  • Resume builder tool
  • Self-paced learning
  • Lifetime programme access
  • Ppts
  • Community forum
  • Videos
  • Case studies

Course and certificate fees

Fees information
₹ 4,499  ₹4,999

Decision Tree Modeling Using R Certification Training fee structure

HeadAmount in INR
Original priceRs. 4,999
Discounted priceRs. 4,499

  *No Cost EMI starts at Rs. 1,500 / month

certificate availability

Yes

certificate providing authority

Edureka

Eligibility criteria

Certificate qualifying details:

To earn the Decision Tree Modeling Using R training certification, you must submit all assessments and clear the project evaluation. 

What you will learn

Statistical skills

After completing the Decision Tree Modeling Using R certification syllabus, you’ll be adept in: 

  • Decision Tree
  • Data treatment before modelling
  • Data design for modelling
  • Industry practices of Classification tree-Development, its validations, and sausages
  • Classifications of Tree development
  • Auto pruning and Regression Tree
  • Algorithm details
  • CHAID algorithms

The syllabus

Introduction to Decision Tree

  • Decision Tree’s anatomy
  • Decision Tree modelling objectives
  • Gains from a Decision Tree (KS calculations)
  • Objective segmentation-related definitions

Data Design for Modelling

  • Performance window
  • Historical window
  • Using vintage analysis for deciding performance window horizon
  • Data design-related general precautions

Data Treatment before Modelling

  • Data sanity check: contents, frequency distribution, view, uni-variate/means
  • Missing value treatment guideline
  • Categorical variable treatment
  • Capping guidelines

Classification of Tree Development and Algorithm Details

  • Preamble to data
  • Developing first Decision Tree in the R studio
  • Installing R studio and R package
  • Finding the strength of a model
  • How is a Decision Tree created?
  • Algorithms behind Decision Tree
  • GINI method
  • First on categorical dependent variables
  • Software program steps to learn classifications (developing the tree)
  • Decision Tree assignment

Industry Practice of Classification Tree-Development, Validation and Usage

  • Finding the strength of the model
  • Discussions on assignment
  • Software program steps to implement learning on unseen data
  • Learning more from a practical viewpoint
  • Model deployment and validation

Regression Tree and Auto Pruning

  • Introduction to pruning
  • Pruning steps
  • Pruning logic
  • Understanding K-fold validations for a model
  • Implementing auto pruning through R
  • Interpreting output
  • Developing Regression Tree
  • How is it different from Linear Regression
  • Another Regression Tree using R
  • Disadvantages and advantages over Linear Regression

CHAID Algorithm

  • CHI square statistics
  • Key features of CART
  • The syntax for CHAID using R
  • Implementing Chi-square for Decision Tree development
  • CART vs CHAID

Other Algorithms

  • ID3
  • Entropy in a Decision Tree’s context
  • Using R for Random Forest 
  • Random Forest method
  • Project work

Admission details

  • Preview the Decision Tree Modeling Using R online course on the official website.
  • Check the programme info and use the ‘Enrol Now’ button to start the admission process.
  • Fill out the on-screen details and tap the ‘Start Learning’ option. 
  • Complete the course fee payment and click on the ‘Pay Securely’ tab. 
  • You’ll be enrolled in the course upon successful fee payment. 

Filling the form

There’s no Decision Tree Modeling Using R Certification Training admission form. You simply need to provide your email and password to sign up and pay the requisite fee to enroll. 

How it helps

The Decision Tree Modeling Using R certification course by Edureka offers a comprehensive syllabus, real-life case studies, assignments, and projects. As such, you receive the complete learning experience to become a Decision Tree Modelling expert.

Moreover, you can also obtain the Decision Tree Modeling Using R certificate if Edureka’s experts approve your project performance. This accreditation is recognised by reputed companies like Dell, Cisco, Honeywell, etc., and will significantly increase your job prospects. 

FAQs

Does the course have limited access?

No. You’ll get unlimited access to this programme’s LMS.

When can I access the LMS?

You’ll receive LMS access right after course enrollment. 

What will the course LMS include?

The Decision Tree Modeling Using R Certification Training LMS will entail PPTS, videos, assignments, and PDFs.

Are multiple payment options available?

Yes. You can pay the programme fees through debit card, credit card, or net banking. You can also pay via PayPal. 

Who should I contact for a query?

You can email Edureka at sales@edureka.co or call them at +91 9870276457/18442306362. 

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