Lec-29: Decision Tree 🌳 Example | Calculate Entropy, Information ℹ️ Gain | Supervised Learning
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Lec-29: Decision Tree 🌳 Example | Calculate Entropy, Information ℹ️ Gain | Supervised Learning
In this video, Varun sir will break down a real example of how a Decision Tree works – step by step! You’ll learn how to Calculate Entropy, Compute Information Gain and Understand the logic behind splitting nodes in Supervised Learning. Whether you're a beginner or brushing up your ML basics, this simple and intuitive explanation will make ...
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