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0:46
YouTube
Chain
What is Model Regularization in Machine Learning 🛡️📊
Hi Everyone ! Regularization is a technique used to prevent overfitting in machine-learning models by penalizing overly complex models. It adds a penalty term to the model's loss function, discouraging the model from assigning excessively high weights to certain features. Key Types of Regularization: L1 Regularization (Lasso): Adds the absolute ...
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