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Learning Predictive Analytics with R. Get to grips with key data visualization and predictive analytic skills using R

(ebook) (audiobook) (audiobook) Książka w języku 1
Autor:
Eric Mayor
Learning Predictive Analytics with R. Get to grips with key data visualization and predictive analytic skills using R Eric Mayor - okladka książki

Learning Predictive Analytics with R. Get to grips with key data visualization and predictive analytic skills using R Eric Mayor - okladka książki

Learning Predictive Analytics with R. Get to grips with key data visualization and predictive analytic skills using R Eric Mayor - audiobook MP3

Learning Predictive Analytics with R. Get to grips with key data visualization and predictive analytic skills using R Eric Mayor - audiobook CD

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Stron:
332
Dostępne formaty:
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Ebook (134,10 zł najniższa cena z 30 dni)

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143,10 zł

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This 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 visualization techniques using the basic visualization tools of R as well as lattice for visualizing patterns in data organized in groups. This book is invaluable for anyone fascinated by the data mining opportunities offered by GNU R and its packages.

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O autorze książki

Eric Mayor is a senior researcher and lecturer at the University of Neuchatel, Switzerland. He is an enthusiastic user of open source and proprietary predictive analytics software packages, such as R, Rapidminer, and Weka. He analyzes data on a daily basis and is keen to share his knowledge in a simple way.

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