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ridge regression to penalize features converting completely zero, on the other side lasso tunes parameters making closer to zero but never equal.

true
false

True!

Explanation:

Ridge regression is a way to create a parsimonious model when the number of predictor variables in a set exceeds the number of observations, or when a data set has correlations between predictor variables.

answerthe above statement is (true);