Computational Thinking, Linear Algebra, Linear Regression, Python, Jupyter Notebook.
create models that better generalize to new data. Regularization Lasso regression uses an L1 penalty, which pushes towards sparse coefficients. The parameter α is used to weight the penalty term. Scikit Learn’s LassoCV performs cross validation with a number of different values for α. reg_regr =