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This Decision Tree in R tutorial video will help you understand what a decision tree algorithm is and what problems can be solved using decision trees. You will learn how does a decision tree work and see a use case implementation on survival prediction using R.

Below topics are explained in this Decision tree in R tutorial :
00:00 - 00:39 Introduction
00:39 - 02:18 What is a Decision tree?
02:18 - 03:16 What problems can be solved using Decision Trees?
03:16 - 10:20 How does a Decision Tree work?
10:20 - 44:32 Use case: Survival prediction in R
44:32 - 46:20 Key Takeaways

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What is a Decision Tree Algorithm?
A Decision Tree is a supervised machine learning algorithm for solving classification problems. Generally, a decision tree is drawn upside down with its root at the top and it is known as the Top-Down Approach. Decision trees are used for handling non-linear data sets effectively. The decision tree tool is used in real life in many areas, such as engineering, civil planning, law, and business.

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