Lecture 38: Machine Learning: Regression Analysis: Lasso Regression OR L1 Regularization
Автор: Machine & Deep Learning: From Learning to Hiring
Загружено: 2025-12-17
Просмотров: 6
Описание:
n this video, we focus on Lasso Regression (L1 Regularization), one of the most effective techniques for improving regression models and preventing overfitting. Lasso performs L1 regularization, which penalizes the absolute size of the coefficients, leading to sparsity in the model (some coefficients are reduced to zero). We’ll explain how Lasso works, why it’s useful for feature selection
Link for next video: • Lecture 39: Machine Learning: Regression A...
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке: