Practical data science cookbook : practical recipes on data pre-processing, analysis and visualization using R and Python

Practical data science cookbook practical recipes on data pre-processing, analysis and visualization using R and Python

Over 85 recipes to help you complete real-world data science projects in R and Python About This Book Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data Get beyond the theory and implement real-world projects in data science using R and Pyth...

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Detalles Bibliográficos
Otros Autores: Tattar, Prabhanjan, 1979- author (author), Ojeda, Tony, author, Murphy, Sean Patrick, author, Bengfort, Benjamin, author, Dasgupta, Abhijit, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing 2017.
Edición:Second edition
Materias:
Object-oriented programming (Computer science)
Data mining.
Mathematical statistics > Data processing.
Python (Computer program language)
R (Computer program language)
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630681806719

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