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Mining the social web, mailboxes : learn to analyze and query large volumes of email using Python and Pandas /

"Imagine yourself as a criminal investigator. You've been tasked with searching through thousands of subpoenaed email messages for the purpose of finding evidence of fraud. What tools could you use to do your job? In this course, based on content from Matthew Russell's book, 'Min...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Klassen, Mikhail (Orador)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly, [2017]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"Imagine yourself as a criminal investigator. You've been tasked with searching through thousands of subpoenaed email messages for the purpose of finding evidence of fraud. What tools could you use to do your job? In this course, based on content from Matthew Russell's book, 'Mining the Social Web' (O'Reilly Media), you'll learn how to forensically examine large email data sets. Designed for learners with basic Python experience, the course explains the structure of email messages, deciphers the meanings in email metadata, and shows you how to use pandas -- Python's data analysis library -- to organize, manipulate, and query email data. Bonus: You get to practice your detective skills on an email data set used in a real U.S. criminal investigation (i.e., the 2001 Enron fraud case)."--Resource description page
Notas:Title from title screen (viewed October 3, 2017).
Date of publication from resource description page.
Descripción Física:1 online resource (1 streaming video file (23 min., 37 sec.))