Who this book is for

First, this book is addressed to Python developers with at least a basic understanding of data science, statistics, and math. Though the book doesn't require a previous background in data science or statistics, it can well address data scientists of any seniority who intend to learn how to best do regression analysis on a dataset. We imagine that you want to put intelligence in your data products but you don't want to depend on any black box. Therefore, you prefer a technique which is simple, understandable, and yet effective to be production grade. Through the book, we will provide you with the knowledge to use Python for building fast and better linear models and to deploy the resulting models in Python or in any computer ...

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