This session covers the popular machine learning model called Decision Trees, which falls under the Supervised Machine Learning category.(1) Decision Tree Regression(2) Decision Tree Classification
Prerequisite knowledge
R Programming Knowledge Basic knoweldge of Regression & Classification machine learning models
Learning outcomes
This hands-on session will allow the learners to create and train both a Decision Tree Regression model & a Decision Tree Classification model using R programming language.
Software / Hardware requirements
Anaconda Distribution Install the ‘64-bit Graphical installer’R studio (For both Windows & macOS)Sugggested link: https://www.anaconda.com/products/individual
