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

If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Ojeda, Tony (Autor), Murphy, Sean Patrick (Autor), Bengfort, Benjamin, 1984- (Autor), Dasgupta, Abhijit (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2014.
Temas:
Object-oriented programming (Computer science)
Data mining.
Mathematical statistics > Data processing.
Python (Computer program language)
R (Computer program language)
Programmation orientée objet (Informatique)
Exploration de données (Informatique)
Statistique mathématique > Informatique.
Python (Langage de programmation)
R (Langage de programmation)
COMPUTERS > Programming > General.
Data mining
Mathematical statistics > Data processing
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