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Practical data science cookbook : 89 hands-on recipes to help you complete real-world data science projects in R and Python /

Wedi'i Gadw mewn:

Manylion Llyfryddiaeth
Prif Awdur:	Ojeda, Tony (Awdur)
Fformat:	Electronig eLyfr
Iaith:	Saesneg
Cyhoeddwyd:	Birmingham, [England] : Packt Publishing, 2014.
Pynciau:	Object-oriented programming (Computer science) Data mining. Mathematical statistics > Data processing. Electronic books.
Mynediad Ar-lein:	An electronic book accessible through the World Wide Web; click to view
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!

Eitemau Tebyg

Data science & big data analytics : discovering, analyzing, visualizing and presenting data /
Cyhoeddwyd: (2015)

Data mining for the social sciences : an introduction /
gan: Attewell, Paul A., 1949-, et al.
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Instant data intensive apps with pandas how-to manipulate, visualize, and analyze your data with pandas /
gan: Hauck, Trent
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Big data MBA : driving business strategies with data science /
gan: Schmarzo, Bill
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Data mining and learning analytics : applications in educational research /
Cyhoeddwyd: (2016)

Multi-relational data mining
Cyhoeddwyd: (2006)

Data mining for business applications
Cyhoeddwyd: (2010)

Data analysis
Cyhoeddwyd: (2009)

Data mining techniques for marketing, sales, and customer relationship management /
gan: Berry, Michael J. A.
Cyhoeddwyd: (2004)

Data mining techniques for marketing, sales, and customer relationship management /
gan: Linoff, Gordon S.
Cyhoeddwyd: (2011)

Making sense of data I : a practical guide to exploratory data analysis and data mining /
gan: Myatt, Glenn J., 1969-, et al.
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Information quality data analytics : the potential of data and analytics to generate knowledge /
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The internet of things & data analytics handbook /
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Big data revolution : what farmers, doctors and insurance agents teach us about discovering big data patterns /
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Fundamentals of big data : network analysis for research and industry /
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Cyhoeddwyd: (2016)

Data mining in finance advances in relational and hybrid methods /
gan: Kovalerchuk, Boris
Cyhoeddwyd: (2000)

Data mining and statistics for decision making
gan: Tuffery, Stéphane
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Contributions to simulation of modelica models on data-parallel mutli-core architectures /
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A practical guide to analytics for governments : using big data for good /
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Commercial data mining : processing, analysis and modeling for predictive analytics projects /
gan: Nettleton, David, 1963-
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Statistical data analytics : foundations for data mining, informatics, and knowledge discovery /
gan: Piegorsch, Walter W.
Cyhoeddwyd: (2015)

Data mining in biomedicine using ontologies
Cyhoeddwyd: (2009)

Using OpenRefine : the essential OpenRefine guide that takes you from data analysis and error fixing to linking your dataset to the Web /
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A practical guide to data mining for business and industry /
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Cyhoeddwyd: (2014)

Data analysis and data mining an introduction /
gan: Azzalini, Adelchi
Cyhoeddwyd: (2012)

R for data science : learn and explore the fundamentals of data science with R /
gan: Toomey, Dan
Cyhoeddwyd: (2014)

Real-time analytics : techniques to analyze and visualize streaming data /
gan: Ellis, Byron
Cyhoeddwyd: (2014)

Decoding the city : urbanism in the age of big data /
Cyhoeddwyd: (2014)

Predictive analytics and data mining : concepts and practice with rapidminer /
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Data mining and warehousing
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Discovering knowledge in data an introduction to data mining /
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Cyhoeddwyd: (2005)

Data manipulation with R : perform group-wise data manipulation and deal with large datasets using R efficiently and effectively /
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Big data, data mining, and machine learning : value creation for business leaders and practitioners /
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Data mining concepts and techniques /
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Cyhoeddwyd: (2012)

Data mining for dummies /
gan: Brown, Meta S.
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Business analytics and data mining with R
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Cyhoeddwyd: (2013)

Challenges at the Interface of Data Analysis, Computer Science, and Optimization Proceedings of the 34th Annual Conference of the Gesellschaft fr Klassifikation e. V., Karlsruhe, July 21 - 23, 2010 /
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Data science for dummies /
gan: Pierson, Lillian
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