Machine Learning with R: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data
by Brett Lantz
Machine Learning with R presents a practical guide to building and improving machine learning models. Readers explore data preparation, model tuning, evaluation, and techniques for working with big data, all through the lens of the R programming language.
About This Book
Machine Learning with R introduces techniques for building and improving machine learning models using the R programming language.
The book covers key stages of the modeling process, including data preparation, model tuning, and evaluation.
It also addresses approaches for working with big data, making the subject relevant to readers exploring larger datasets.
Designed as a practical learning resource, it focuses on the workflow and techniques used in machine learning with R.
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