Regression Analysis with Python

Author:   Luca Massaron ,  Alberto Boschetti
Publisher:   Packt Publishing Limited
ISBN:  

9781785286315


Pages:   312
Publication Date:   06 January 2016
Format:   Paperback
Availability:   In stock   Availability explained
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Regression Analysis with Python


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Author:   Luca Massaron ,  Alberto Boschetti
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
Dimensions:   Width: 19.10cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.540kg
ISBN:  

9781785286315


ISBN 10:   1785286315
Pages:   312
Publication Date:   06 January 2016
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.

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Luca Massaron is a data scientist and a marketing research director who is specialized in multivariate statistical analysis, machine learning, and customer insight with over a decade of experience in solving real-world problems and in 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 ten Kaggler, he has always been very passionate about everything regarding 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, he believes that a lot can be achieved in data science just by doing the essentials. Alberto Boschetti is a data scientist, with an 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 daily challenges that span from natural language processing (NLP) and machine learning to 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.

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