Decision Tree Clear Explanation | Regression & Classification Decision Tree | Random Forest

In this video, we dive deep into decision trees, a robust tool used in machine learning and data analysis. Decision Trees are an essential part of Machine Learning and are used in supervised learning tasks.

Join us as we provide a clear and easy-to-follow explanation of decision trees, covering both regression and classification scenarios. We have also explained the concept of decision boundaries using an example. We also explore the concept of random forests, an ensemble method that combines multiple decision trees for improved performance. All the topics are explained using straightforward examples using visuals.

Time Stamps:
0:00 Introduction
0:17 Structure of Decision Trees
0:47 Definition
1:14 Example
2:36 Decision Boundary
3:34 Classification and Regression Decision Tree
4:04 Example of Regregression Decision Tree
4:18 Random Forest
4:54 Conclusion, see ya!

#decisiontree #randomforest #machinelearning

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