Book excerpt: This book contains our citizen data science philosophy, theories of machine learning explained in plain English, practical applications for many types of predictive and interpretable models, and the software and datasets required for doing real data science without becoming a data scientist. The data mining process flows, hosted in Jupyter notebooks along with the datasets in the cloud, are complete, and templates are fully populated for all main types of models. In fact, this book is where template-driven data analytics gets its start, but you will decide where it ends as it can be applied to limitless situations. While the backend technology is very advanced, you can use a Chromebook to build, run, and analyze professional-grade machine learning models using this guide.