Practical Data Science with R
by Nina Zumel, John Mount
A hands-on introduction to data science using R, covering data preparation, modeling, and evaluation for practical analysis.
About This Book
Practical Data Science with R provides an introduction to data science techniques using the R programming language.
The book covers essential methods for analyzing and interpreting data in practical settings.
Readers learn foundational skills for working with data through examples and exercises.
Topics include data preparation, modeling, and evaluation using R tools and packages.
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