I learnt about how the concept of entropy can be used in decision tree algorithms particularly ID3 which is used for classification and regression problems. In a decision tree, each node represents an attribute, each link represents a decision and each leaf represents an outcome. It processes all the single outcomes. The exercise was a bit challenging to understand at first.
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Beauty in the struggle….
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