Machine Learning, Linear Regression, Ridge Regression, Lasso Regression, Genomics.
data=coefs, color= "lightblue") g.figsize=(16,10) plt.xticks(rotation=45) Using a loop we can change the penalization and see how many coefficients are still non-zero, we can also print the coefficient of determination to see which is the best model. y = [0.5, 0.1, 0.05, 0.01, 0.005, 0.001] for i