Data Science, Machine Learning, Regression, Data Analysis, Statistics.
when dealing with multicollinearity or when there are more features than observations. Example: Using the same house price prediction dataset, Ridge regression won’t eliminate any features like Lasso. Instead, it will shrink the coefficients of less important features like ‘proximity to the city