Python Data Science Essentials: A practitioner’s guide covering essential data science principles, tools, and techniques, 3rd Edition

Author:   Alberto Boschetti ,  Luca Massaron
Publisher:   Packt Publishing Limited
Edition:   3rd Revised edition
ISBN:  

9781789537864


Pages:   472
Publication Date:   28 September 2018
Format:   Paperback
Availability:   In stock   Availability explained
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Python Data Science Essentials: A practitioner’s guide covering essential data science principles, tools, and techniques, 3rd Edition


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Author:   Alberto Boschetti ,  Luca Massaron
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
Edition:   3rd Revised edition
ISBN:  

9781789537864


ISBN 10:   178953786
Pages:   472
Publication Date:   28 September 2018
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents First Steps Data Munging The Data Pipeline Machine Learning Visualization, Insights, and Results Social Network Analysis Deep Learning Beyond the Basics Spark for Big Data Appendix A: Strengthen Your Python Foundations

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Author Information

Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a Ph.D. in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges ranging from natural language processing (NLP) and behavioral analysis to machine learning and distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events. Luca Massaron is a data scientist and marketing research director specialized in multivariate statistical analysis, machine learning, and customer insight, with over a decade of experience of solving real-world problems and generating value for stakeholders by applying reasoning, statistics, data mining, and algorithms. From being a pioneer of web audience analysis in Italy to achieving the rank of a top-10 Kaggler, he has always been very passionate about every aspect of data and its analysis, and also about demonstrating the potential of data-driven knowledge discovery to both experts and non-experts. Favoring simplicity over unnecessary sophistication, Luca believes that a lot can be achieved in data science just by doing the essentials.

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