Now it's time to construct your model pipelines, which you'll use in the cross validation process to standardize your data and apply your Scikit-learn models. For this classifier, you'll use four psyche learn models, L1 logistic regression, L2 logistic regression, the random forest classifier and the gradient boosting classifier. Follow along with the code that you see here to import the make pipeline function, the StandardScaler function, and your machine learning classifiers from Scikit- learn. Once you're finished, you'll be ready to move on and create your pipelines.