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
Acceso en línea:Texto completo
Descripción
Sumario: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 of data science projects, the steps in the data science pipeline, and the programming examples presented in this book. Since the book is formatted to walk you through the projects with examples and explanations along the way, no prior programming experience is required.
Descripción Física:1 online resource
ISBN:9781783980253
1783980257
9781322166063
1322166064

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