Decision Tree Implementation in R #decisiontree #rprogrammingforbeginners #machinelearning

Decision Tree is one of the most common classification techniques. A tree is constructed in a top-down manner and includes the following steps: 1 Place all training examples at the root 2 Categorize the attributes 3 Partition examples recursively based on the selected attributes 4 Select test attributes on the basis of a heuristic or statistical measure. The proposed video demonstrates implementing decision tree using R Programming with an example. #sudikshaanalytics, #decisiontree #rprogrammingforbeginners