Decision Trees in Machine Learning
In the realm of machine learning, decision trees are an indispensable tool for problem-solving and decision-making.
These trees provide a visual representation of potential choices, outcomes, and their associated probabilities. With their ability to handle both categorical and numerical data, decision trees can be a powerful asset in various domains.
In this article, we will explore what decision trees are, how they work, their advantages and disadvantages, different types, and applications, and ultimately delve into their role in machine learning.
