Machine Learning, Linear Regression, Ridge Regression, Lasso Regression, Genomics.
better performance in some cases. Now we will see this in practice with our dataset. from sklearn.linear_model import Ridge model = Ridge(alpha = 0.05) model.fit(X_train, y_train) y_pred = model.predict(X_test) print('Mean Absolute Error:', metrics.mean_absolute_error(y_test, y_pred)) print('Mean