Data Science, Machine Learning, Regression, Data Analysis, Statistics.
noise in the training data, thus enhancing its ability to perform well on unseen data. Improving Generalization: By discouraging complexity, regularization helps the model to generalize better, making it more effective for real-world predictions. Feature Selection: Certain regularization techniques