| 期刊全称 | Business Analytics Using R - A Practical Approach | | 影响因子2023 | Umesh R. Hodeghatta,Umesh Nayak | | 视频video | | | 发行地址 | The book covers both descriptive analytics and predictive analytics. It also discusses business value and how analytics is linked to statistics, machine learning, and artificial intelligence. Most of | | 图书封面 |  | | 影响因子 | .Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, .Practical Business Analytics using R .helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics..This book will discuss and explore the following through examples and case studies:.An introduction to R: data management and R functions.The architecture, framework, and life cycle of a business analytics project.Descriptive analytics using R: descriptive statistics and data cleaning.Data mining: classification, association rules, and clustering .Predictiveanalytics: simple regression, multiple regression, and logistic regression .This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate | | Pindex | Book 20171st edition |
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发表于 2025-3-21 18:05:54
