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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 /

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Xehetasun bibliografikoak
Egile nagusia:	Ojeda, Tony (Egilea)
Formatua:	Baliabide elektronikoa eBook
Hizkuntza:	ingelesa
Argitaratua:	Birmingham, [England] : Packt Publishing, 2014.
Gaiak:	Object-oriented programming (Computer science) Data mining. Mathematical statistics > Data processing. Electronic books.
Sarrera elektronikoa:	An electronic book accessible through the World Wide Web; click to view
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak

Data science & big data analytics : discovering, analyzing, visualizing and presenting data /
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Data mining for the social sciences : an introduction /
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Big data MBA : driving business strategies with data science /
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Data mining and learning analytics : applications in educational research /
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Data analysis
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Data mining techniques for marketing, sales, and customer relationship management /
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Data mining techniques for marketing, sales, and customer relationship management /
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Making sense of data I : a practical guide to exploratory data analysis and data mining /
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Contributions to simulation of modelica models on data-parallel mutli-core architectures /
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Data mining in finance advances in relational and hybrid methods /
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Statistical data analytics : foundations for data mining, informatics, and knowledge discovery /
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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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Data analysis and data mining an introduction /
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Real-time analytics : techniques to analyze and visualize streaming data /
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