Practical data science with R /

Practical Data Science with R explains basic principles and then jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully expl...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Zumel, Nina
Otros Autores: Mount, John (Computational scientist)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Shelter Island, NY : Manning, ©2014.
Temas:
R (Computer program language)
Mathematical statistics > Data processing.
Data mining.
Data Mining
R (Langage de programmation)
Statistique mathématique > Informatique.
Exploration de données (Informatique)
Data mining
Mathematical statistics > Data processing
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • PART 1 INTRODUCTION TO DATA SCIENCE: The data science process
  • Loading data into R
  • Exploring data
  • Managing data
  • PART 2 MODELING METHODS: Choosing and evaluating models
  • Memorization methods
  • Linear and logistic regression
  • Unsupervised methods
  • Exploring advanced methods
  • PART 3 DELIVERING RESULTS: Documentation and deployment
  • Producing effective presentations.

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