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
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YouTubePratap AI
1:37
Entropy can be a useful measure in machine learning. Entropy and information gain is used in building decision trees. I have also seen entropy used in feature engineering. Here is a short conceptual understanding for entropy. This video is based on the excellent blog post on entropy (that also provides the math) Entropy: How Decision Trees Make Decisions by Sam T: https://towardsdatascience.com/entropy-how-decision-trees-make-decisions-2946b9c18c8 Background Photo: Hans-Peter Gauster https://uns
May 2, 2024
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