How Decision Tree Split Nodes in Classification and Regression [Explained]

FreeBirds Crew - Data Science and Generative AI
FreeBirds Crew - Data Science and Generative AI
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In this insightful video, we delve deep into the mathematics behind decision trees in both classification and regression tasks. 🌳 We'll unravel the secrets of node splitting using entropy and information gain for classification, and variance reduction for regression. 📈📉

🔍 Get ready to demystify decision trees and gain a solid understanding of the fundamental concepts that drive their decision-making process. Whether you're a beginner or looking to strengthen your data science skills, this video will provide you with valuable insights.

🧮 We'll break down complex mathematical concepts into simple, easy-to-follow explanations, with real-world examples to illustrate how decision trees work. By the end of this video, you'll have a clear grasp of the math behind decision tree algorithms.

Don't miss out on this educational journey! Hit that subscribe button, give us a thumbs up if you find this video helpful, and share it with fellow learners. Let's dive in and uncover the math behind decision trees! 🚀

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11 ماه پیش در تاریخ 1402/07/06 منتشر شده است.
319 بـار بازدید شده
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