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.
Beschreibung
89 hands-on recipes to help you complete real-world data science projects in R and Python
%0 Book
%1 ojeda2014practical
%A Ojeda, Tony
%A Murphy, Sean Patrick
%A Bengfort, Benjamin
%A Dasgupta, Abhijit
%C Birmingham
%D 2014
%I Packt Publishing
%K Book Cookbook DataScience Python R
%T Practical data science cookbook
%U http://public.eblib.com/choice/publicfullrecord.aspx?p=1800641
%X 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.
@book{ojeda2014practical,
abstract = {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.},
added-at = {2016-08-07T04:06:03.000+0200},
address = {Birmingham},
author = {Ojeda, Tony and Murphy, Sean Patrick and Bengfort, Benjamin and Dasgupta, Abhijit},
biburl = {https://www.bibsonomy.org/bibtex/2453fc6361d0e101885c53066d2eeafb1/vngudivada},
description = {89 hands-on recipes to help you complete real-world data science projects in R and Python},
interhash = {94449c1f14196d70b5105180ef4a7a0e},
intrahash = {453fc6361d0e101885c53066d2eeafb1},
keywords = {Book Cookbook DataScience Python R},
publisher = {Packt Publishing},
timestamp = {2019-03-25T17:12:29.000+0100},
title = {Practical data science cookbook},
url = {http://public.eblib.com/choice/publicfullrecord.aspx?p=1800641},
year = 2014
}