Cargando…

Practical Data Science Cookbook - Second Edition.

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Tattar, Prabhanjan
Otros Autores: Ojeda, Tony, Murphy, Sean Patrick, Bengfort, Benjamin, Dasgupta, Abhijit
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2017.
Edición:2nd ed.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover ; Copyright ; Credits; About the Authors; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: Preparing Your Data Science Environment ; Understanding the data science pipeline; How to do it ... ; How it works ... ; Installing R on Windows, Mac OS X, and Linux; How to do it ... ; How it works ... ; See also; Installing libraries in R and RStudio; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Installing Python on Linux and Mac OS X; Getting ready; How to do it ... ; How it works ... ; See also; Installing Python on Windows.
  • How to do it ... How it works ... ; See also; Installing the Python data stack on Mac OS X and Linux; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Installing extra Python packages; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Installing and using virtualenv; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Chapter 2: Driving Visual Analysis with Automobile Data with R ; Introduction; Acquiring automobile fuel efficiency data; Getting ready; How to do it ... ; How it works ... ; Preparing R for your first project.
  • Getting readyHow to do it ... ; There's more ... ; See also; Importing automobile fuel efficiency data into R; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Exploring and describing fuel efficiency data; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Analyzing automobile fuel efficiency over time; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Investigating the makes and models of automobiles; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also.
  • Chapter 3: Creating Application-Oriented Analyses Using Tax Data and Python Introduction; An introduction to application-oriented approaches; Preparing for the analysis of top incomes; Getting ready; How to do it ... ; How it works ... ; Importing and exploring the world's top incomes dataset; Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Analyzing and visualizing the top income data of the US; Getting ready; How to do it ... ; How it works ... ; Furthering the analysis of the top income groups of the US; Getting ready; How to do it ... ; How it works ...
  • Reporting with Jinja2Getting ready; How to do it ... ; How it works ... ; There's more ... ; See also; Repeating the analysis in R; Getting ready; How to do it ... ; There's more ... ; Chapter 4: Modeling Stock Market Data ; Introduction; Requirements; Acquiring stock market data; How to do it ... ; Summarizing the data; Getting ready; How to do it ... ; How it works ... ; There's more ... ; Cleaning and exploring the data; Getting ready; How to do it ... ; How it works ... ; See also; Generating relative valuations; Getting ready; How to do; How it works ... ; Screening stocks and analyzing historical prices.