Data Science, Machine Learning, Linear Regression, Ridge Regression, Lasso Regression.
zero. This leads to models that are less likely to completely ignore any given feature, unlike Lasso. How Ridge Regression Deals with Multicollinearity Multicollinearity refers to the situation where two or more features are highly correlated with each other. This can make it difficult for a model