Explain the concept of decision trees in classification. Provide an example of building and visualizing a decision tree using R. How can K-means clustering be applied to a dataset in R?
Introduction Decision trees and K-means clustering are two popular techniques in data science and machine learning. While decision trees are mainly used for classification problems, K-means clustering is an unsupervised learning method used to group data based on similarity. In this blog post, we will explain the concept of decision trees, how to implement and […]