Predictive Analytics For Business Using R
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A01=Russell R Barton
ANOVA
Author_Russell R Barton
Business Analytics
Business Intelligence
Category=KJC
Category=UNC
Cross-Validation
Discrete-Event Simulation
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Forecasting
Gaussian Process
Machine Learning
Modeling Techniques
Neural Networks
Nonlinear Regression
Predictive Analytics
Predictive Modeling
R Programming
Regression
Regression Diagnostics
Time Series
Product details
- ISBN 9789819820344
- Publication Date: 20 Sep 2024
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Paperback
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Predictive Analytics for Business using R by Russell R Barton equips business professionals and students with the tools to forecast trends, classify outcomes, and analyze time-dependent data using R programming. Focused on real-world business applications, the book covers essential topics such as regression analysis, classification models, time series forecasting, and simulation. It emphasizes how to assess uncertainty and interpret model results with confidence.Designed for case-based learning, each chapter is paired with real data and accompanying R code — making it ideal for hands-on practice in academic or professional settings. Whether you're analyzing customer behavior, forecasting sales, or modeling system performance, this book offers the analytical foundation to make smarter, data-driven decisions.
