Machine Learning, Regression, Data Science.
parameter (α≥0) controls the amount of shrinkage or penalty to be applied. If α is zero then ridge regression is simple linear regression while with large value of α, the greater the amount of shrinkage and thus the coefficients become more robust to collinearity (close to zero) and result is a