Why do we need to normalize data before applying penalizing methods in the framework of regression?
125257
Question about standardizing in ridge regression
98154
Why use group lasso instead of lasso?
102459
Why use gradient descent for linear regression, when a closed-form math solution is available?
108317
Do you ever center AND standardize variables in multiple regression?
135975
Why would one suppress the intercept in linear regression?
47872
Should covariates that are not statistically significant be 'kept in' when creating a model?
136012
why boosting method is sensitive to outliers
4503
Assumptions of linear models and what to do if the residuals are not normally distributed
87990
Why are regression problems called "regression" problems?
98605
Ridge/Lasso regression negative Lambda
81816
Whether to delete cases that are flagged as outliers by statistical software when performing multiple regression?
48892
whether to rescale indicator / binary / dummy predictors for LASSO
39736
Regularization methods for logistic regression
76906
Penalized methods for categorical data: combining levels in a factor
104131
LASSO: selection of penalty term: "one-standard-error" rule
50219
Centering variables in regression leads to the same model of original variables, why still doing that?
74614
KKT versus unconstrained formulation of lasso regression