Decision Tree and Classification | Machine Leaning in Hindi/Urdu (1/2)
Channel: Codanics
Date: 2023-01-03

#datascience 
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Video Description:
Welcome to our video on decision and classification trees! In this tutorial, we will be discussing how these trees can be used for data analysis and decision making.

A decision tree is a graphical representation of different possible outcomes based on a set of conditions. It is a powerful tool that allows us to make informed decisions based on data. In a decision tree, the root node represents the initial decision, while the branches represent the potential outcomes. Each branch represents a different decision, and the branches themselves can be further divided into sub-branches.

A classification tree is similar to a decision tree, but it is used to classify data into different categories. In a classification tree, the root node represents the initial decision, while the branches represent the different categories.

Decision and classification trees are often used in machine learning algorithms, as they allow for efficient analysis of large amounts of data. They are also commonly used in business, finance, and other industries for decision making and data analysis.

In this video, we will walk you through the steps of creating a decision tree and a classification tree, and show you how to interpret the results. We will also discuss the pros and cons of using these trees for data analysis.

Thank you for watching! We hope this tutorial has helped you understand the basics of decision and classification trees. If you have any questions or would like to learn more, be sure to leave a comment below.
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