Data Science, Machine Learning, Linear Regression, Ridge Regression, Lasso Regression.
Lasso(alpha=0.1) # set the regularization parameter; you may need to adjust this based on your data lasso.fit(X_train, y_train) Step 2 — Make Predictions Once the model is trained, we can make predictions on the test data: y_pred = lasso.predict(X_test) Interpretation of Results Now that we have