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This decision tree in machine learning tutorial will help you understand all the basics of decision tree and how the decision tree algorithm works. At the end, we will implement a decision tree algorithm in Python to predict loan payments. This decision tree tutorial is ideal for both beginners and professionals who want to learn machine learning algorithms.

The following topics are covered in this Decision Tree Algorithm tutorial:
0. Introduction (0:00)
1. What is machine learning? (02:25)
2. Types of machine learning? (03:27)
3. Problems with machine learning (04:43)
4. What is a decision tree? (06:29)
5. What problems does a decision tree solve? (07:11)
6. Advantages of the decision tree (07:54)
7. How does a decision tree work? (10:55)
8. Use case – Loan repayment prediction (14:32)

Dataset link – https://drive.google.com/drive/folders/1JybOOdRsMYH0z8fehVuFNLhZ60UsO-4W

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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 the root at the top. This is called a top-down approach. Decision trees are used to effectively process non-linear data sets. The decision tree tool is used in real life in many fields such as engineering, construction planning, law, and business.

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