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Data Mining and Business Analytics with R by Johannes Ledolter is a book available to read on EtoBox.

What is Data Mining and Business Analytics with R about?

Collecting, Analyzing, And Extracting Valuable Information From A Large Amount Of Data Requires Easily Accessible, Robust, Computational And Analytical Tools. Data Mining And Business Analytics With R Utilizes The Open Source Software R For The Analysis, Exploration, And Simplification Of Large High-dimensional Data Sets. As A Result, Readers Are Provided With The Needed Guidance To Model And Interpret Complicated Data And Become Adept At Building Powerful Models For Prediction And Classification. Highlighting Both Underlying Concepts And Practical Computational Skills, Data Mining And Business Analytics With R Begins With Coverage Of Standard Linear Regression And The Importance Of Parsimony In Statistical Modeling. The Book Includes Important Topics Such As Penalty-based Variable Selection (lasso); Logistic Regression; Regression And Classification Trees; Clustering; Principal Components And Partial Least Squares; And The Analysis Of Text And Network Data. In Addition, The Book Presents: * A Thorough Discussion And Extensive Demonstration Of The Theory Behind The Most Useful Data Mining Tools * Illustrations Of How To Use The Outlined Concepts In Real-world Situations * Readily A

Author
Johannes Ledolter
Publisher
Wiley & Sons, Incorporated, John
Published
2013
Language
EN
ISBN
9781118572221
Subjects
Mathematics, Computer Science, Stem

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