Have a personal or library account? Click to login
Regression Analysis with R Cover

Regression Analysis with R

Design and develop statistical nodes to identify unique relationships within data at scale

Publisher:Packt Publishing Limited
By: Giuseppe Ciaburro  
Paid access
|Feb 2018
Product purchase options

Table of Contents

  1. Getting Started with Regression
  2. Basic Concepts
  3. More Than Just One Predictor
  4. When the Response Falls into Two Categories
  5. Data Preparation Using R Tools
  6. Avoiding Overfitting Problems - Achieving Generalization
  7. Going Further with Regression Models
  8. Beyond Linearity
  9. Regression Analysis in Practice
PDF ISBN: 978-1-78862-270-7
Publisher: Packt Publishing Limited
Copyright owner: © 2018 Packt Publishing Limited
Publication date: 2018
Language: English
Pages: 422
Related subjects:
Computer sciences,
Computer sciences, other

People also read

Regression Analysis with Python
Book
New

Regression Analysis with Python

Massaron, Luca, Boschetti, Alberto
Data Analysis with R, Second Edition
Book

Data Analysis with R, Second Edition

Mastering Predictive Analytics with R, Second Edition
Book
New

Mastering Predictive Analytics with R, Second Edition

Miller, James D., Forte, Rui Miguel
R Statistics Cookbook
Book

R Statistics Cookbook

Juretig, Francisco
R Data Analysis Cookbook, Second Edition
Book
New

R Data Analysis Cookbook, Second Edition

Ganguly, Kuntal, Viswanathan, Shanthi, Viswanathan, Viswa
Machine Learning with R
Book

Machine Learning with R

Lantz, Brett
Linear Regression With Python
Book

Linear Regression With Python

Stone, James V
Applied Supervised Learning with R
Book

Applied Supervised Learning with R

Ramasubramanian, Karthik, Moolayil, Jojo
Learning Predictive Analytics with R
Book

Learning Predictive Analytics with R

Mayor, Eric
Machine Learning with R Cookbook, Second Edition
Book
Coming soon

Machine Learning with R Cookbook, Second Edition

Chiu (David Chiu), Yu-Wei,