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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Tattar, Prabhanjan, 1979- (Author), Ojeda, Tony (Author), Murphy, Sean Patrick (Author), Bengfort, Benjamin (Author), Dasgupta, Abhijit (Author)
Format: Electronic eBook
Language:Inglés
Published: Birmingham, UK : Packt Publishing, 2017.
Edition:Second edition.
Subjects:
Object-oriented programming (Computer science)
Data mining.
Mathematical statistics > Data processing.
Python (Computer program language)
R (Computer program language)
Data Mining
Programmation orientée objet (Informatique)
Exploration de données (Informatique)
Statistique mathématique > Informatique.
Python (Langage de programmation)
R (Langage de programmation)
COMPUTERS. > Data Processing.
COMPUTERS. > Data Modeling & Design.
COMPUTERS > Data Visualization.
Data mining
Mathematical statistics > Data processing
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