This article explores ensemble techniques in machine learning, specifically the bagging technique called Random Forest Classifier and Regression. It discusses the use of decision trees in ensemble models and how bagging works. The article also provides insights into the properties of random forests and their variance reduction capabilities.

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Machine Learning Algorithms(9) — Ensemble techniques ( Bagging —Random Forest Classifier and Regression )How do Bagging techniques work?

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