Build Decison Tree Classifier using Gini index | Machine learning for Data Science (Part 2)
In this video, we'll walk you through the process of building a decision tree using the Gini index, a popular criterion for evaluating the quality of split points in a tree, by hand.
Using a well-known dataset from a buys computer class, we'll demonstrate how to construct a decision tree from scratch with pen and paper. We'll cover the theory behind decision trees and the Gini index, and show you step-by-step how to determine the optimal splits for each node in the tree.
By the end of this video, you'll have a solid understanding of how decision trees work, how to evaluate split points using the Gini index, and how to construct a decision tree by hand.
Whether you're a beginner or an experienced data analyst, join us as we explore the fascinating world of decision trees and the Gini index. Don't forget to like, comment, and subscribe to our channel for more great content!
The video is the part of the course on Machine learning for data science. Also it is the 2nd video on our solved example about how to build the decision tree using Gini index. Decision tree classifier is the one of the supervised learning algorithm in machine learning.
#machinelearning #gini #datascience
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