The Decision Tree Modelling course is designed to provide knowledge and skills to become a Predictive analytics expert. Basic concepts like the Need for a model and Data design are covered along with advanced concepts like Regression Tree, Pruning, CHAID and CART algorithms in the course curriculum.
Course Objectives
After the completion of Decision Tree course at Edureka, you should be able to:
- Understand the Anatomy of a Decision Tree
- Learn to use the R platform to develop Decision Trees
- Apply various Decision Tree techniques (CHAID / CART etc.)
- Perform Decision Tree Model Validation
- Learn where to use CHAID / CART / ID3,etc.
- Learn to design data for Decision Tree modeling
- Interpret and Implement Decision Tree model
- Implement Decision Trees to derive business insights
Why learn Decision Tree?
Decision Tree Modelling is a popular Analytic technique. This course can give you a head start on:
- What is core Analytics work
- What do they mean, when they talk of model
- Why modeling is such a beneficial proposition
- How do you develop decision tree using popular platform of R
- How do you validate to know, it will work over time
Who should go for this course?
The course is designed for professionals who want to learn Decision Tree modeling and apply the modeling techniques using R. They are:
- Developers who want to step-up as 'Data Scientists
- Analytics Consultants
- R / SAS / SPSS Professionals
- Data Analysts
- Information Architects and Data Engineers
- Statisticians
What are the pre-requisites for this Course?
The pre-requisite for this course is basic knowledge of R programming language. This course will explain only those R programming syntax which is required for the Decision Tree model development.
Edureka Certification Process:
- Once you are successfully through the project (Reviewed by an edureka expert), you will be awarded with edureka’s Decision Tree Modeling in R Expert certificate.
- edureka certification has industry recognition and we are the preferred training partner for many MNCs e.g.Cisco, Ford, Mphasis, Nokia, Wipro, Accenture, IBM, Philips, Citi, Ford, Mindtree, BNYMellon etc. Please be assured.
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