Prerequisites
Basic knowledge of R programming language required before attending this course.
Audience
This training course is ideal for anyone; however, Professionals and Students who want to enter the Analytics Industry. This course is also ideal for Analytics Professionals and Data Mining Professionals.
Decision Tree Modeling Using R Training Course Overview
Decision Tree Modeling Using R is a popular Analytic technique which can be implemented in various business fields such as money lending business, automobile, and telecom.
This 1-day Decision Tree Modeling Using R Certification course is designed to provide delegates with a solid understanding of various concepts such as Data treatment before modelling frequency distribution, the algorithm behind decision tree, how is a decision tree developed, GINI method, steps of pruning, ID3, random forest method, and more. Starting from fundamentals of Decision Tree delegates will learn other advance topics such as data design for modelling, data treatment before modelling, classification of tree development and algorithm details, industry practice of classification tree - development, validation and usage, understand K fold validation for the model, CHAID Algorithm, the syntax for CHAID using R, and CHAID vs CART, using R for Random forest method and more.
After attending this course, delegates will gain expertise in Decision Tree Modeling using the R programming language.