Machine Learning, Artificial Intelligence, Data Science, Heartbreak, Linear Regression.
used to reduce the complexity of the model by shrinking the model coefficients. But instead of making some of the coefficients be zero, Ridge rather forces them to be small. This reduces the significance of these features such that they have less impact on predicting the target label. The objective