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Decision Trees Explained: How They Work and When to Use Them
Data Science   Latest   Machine Learning

Decision Trees Explained: How They Work and When to Use Them

Last Updated on October 5, 2024 by Editorial Team

Author(s): Harsh Chourasia

Originally published on Towards AI.

The Ultimate Guide to Making Smarter Data Decisions

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Photo by Nicole Wolf on Unsplash

Today we will talk about Decision Trees, a powerful tool in machine learning and data science.

You might be thinking of how a tree will help you make a decision. Not your backyard tree but an algorithm that resembles such trees for guiding choices in an unordered manner. Well, let’s see how!!

Now, Imagine this situation: you find yourself standing at a crossroads. You have a difficult choice that could impact the final decision of your project, investment, or even a personal dilemma.

In such situations, it makes a difference to go step by step into making a decision. That is where the idea of Decision Trees comes in, a structured and intuitive way through decisions and an evolutionary approach to predict the best course of action.

Let’s take a simple analogy. Consider a decision tree as the wise guide who walks with you through the forest.

At every fork in the path, he asks you something, and you take a certain route based on the answer you give.

You keep walking till you come out into an open space, that’s your decision or forecast. The nice thing about this… Read the full blog for free on Medium.

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