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This video explains Random Forest in machine learning, a powerful ensemble learning method that improves prediction accuracy by combining multiple decision trees. Learn how decision trees work, why a single tree overfits, and how techniques like bagging (bootstrap sampling) and feature randomness reduce variance and create a more stable model ...
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