Data Science, Machine Learning, Regression, Data Analysis, Statistics.
used in regression analysis to prevent overfitting and improve the generalizability of models. It involves modifying the learning process to penalize complexity in the model. The primary goals of regularization are: Preventing Overfitting: Regularization reduces the model’s tendency to fit the