Machine Learning, Linear Regression, Ridge Regression, Lasso Regression, Genomics.
methods: You should scale your inputs before using regularization. In ridge, regression scaling ensures that the penalty acts equally on each coefficient. Scaling with a z-score ensures that the standard deviation is equal to 1 for each input. The standard deviation is affecting the penalty. Ridge