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Can I read Learning Predictive Analytics with R : Get to Grips with Key Data Visualization and Predictive Analytic Skills Using R on EtoBox?

Learning Predictive Analytics with R : Get to Grips with Key Data Visualization and Predictive Analytic Skills Using R by Eric Mayor is a nonfiction available to read on EtoBox.

What is Learning Predictive Analytics with R : Get to Grips with Key Data Visualization and Predictive Analytic Skills Using R about?

Get to grips with key data visualization and predictive analytic skills using R Key FeaturesAcquire predictive analytic skills using various tools of RMake predictions about future events by discovering valuable information from data using RComprehensible guidelines that focus on predictive model design with real-world dataBook DescriptionThis book is packed with easy-to-follow guidelines that explain the workings of the many key data mining tools of R, which are used to discover knowledge from your data. You will learn how to perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on. All chapters will guide you in acquiring the skills in a practical way. Most chapters also include a theoretical introduction that will sharpen your understanding of the subject matter and invite you to go further. The book familiarizes you with the most common data mining tools of R, such as k-means, hierarchical regression, linear regression, association rules, principal component analysis, multilevel modeling, k-NN, Naïve Bayes, decision trees, and text mining. It also provides a description of vis

Who reads Learning Predictive Analytics with R : Get to Grips with Key Data Visualization and Predictive Analytic Skills Using R?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Eric Mayor
Publisher
Packt Publishing, Limited
Published
2015
Language
EN
ISBN
9781782169352
Category
nonfiction
Subjects
Science, Technology, Computer Science

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