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What is A-AI Mod 5 - Ensemble Learning about?

Ensemble methods are techniques that enhance model accuracy by combining multiple models, categorized into sequential (e.g., boosting) and parallel (e.g., bagging) techniques. Key types include Bagging, which reduces variance by averaging predictions from independent models, and Boosting, which reduces bias by sequentially correcting errors from previous models. These methods are widely used in various applications, including classification and regression tasks, and are known for improving performance and r

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roxstatus199

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EN