Lasso Regression, Ridge Regression, L1 Regularization, L2 Regularization.
In the realm of machine learning, linear regression is a powerful tool for predicting outcomes based on input features. However, it is susceptible to overfitting, especially when dealing with high-dimensional datasets. To address this challenge, regularization techniques like Lasso and Ridge