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Data science fundamentals. Part 1, Learning basic concepts, data wrangling, and databases with Python /

"If nothing else, by the end of this video course you will have analyzed a number of datasets from the wild, built a handful of applications, and applied machine learning algorithms in meaningful ways to get real results. And along the way you learn the best practices and computational techniqu...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Addison-Wesley Professional, 2017.
Colección:LiveLessons (Indianapolis, Ind.)
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"If nothing else, by the end of this video course you will have analyzed a number of datasets from the wild, built a handful of applications, and applied machine learning algorithms in meaningful ways to get real results. And along the way you learn the best practices and computational techniques used by a professional data scientist. More specifically, you learn how to acquire data that is openly accessible on the Internet by working with APIs. You learn how to parse XML and JSON data to load it into a relational database."--Resource description page
Notas:Title and publication information from resource description page (Safari, viewed September 14, 2017).
Descripción Física:1 online resource (1 streaming video file (20 hr., 54 min., 20 sec.))