Data Science and Analytics with Python A Practical Guide for Analysts and Data Scientists
This book is the result of very interesting discussions, debates, and dialogues with a large number of people at various levels of seniority, working at startups as well as long-established businesses, and in a variety of industries, from science to media to finance. The book is intended to be a companion to data analysts and budding data scientists who have some working experience with both programming and statistical modeling, but who have not necessarily delved into the wonders of data analytics and machine learning. The book uses Python as a tool to implement and exploit some of the most common algorithms used in data science and data analytics today.
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