Explore the steps and code to work with the watson-machine-learning-client library available in PyPI repository. Includes commands for getting data and for basic data exploration, pipeline creation, model training and evaluation, model persistance to the Watson Machine Learning (WML) repository, and model deployment by using scikit-learn and AI lifecycle capabilities.