L1 Regularization L2 Regularization | Ridge Regression Lasso Regression | Machine Learning tutorial

Опубликовано: 29 Сентябрь 2024
на канале: Ligane Foundation

Poor performance in machine learning models comes from either overfitting or underfitting, and we’ll take a close look at the first one. Overfitting happens when the learned hypothesis is fitting the training data so well that it hurts the model’s performance on unseen data. The model generalizes poorly to new instances that aren’t a part of the training data.
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