Description:

Use R and tidyverse to prepare, clean, import, visualize, transform, program, communicate, predict and model data No R experience is required, although prior exposure to statistics and programming is helpful Purchase of the print or Kindle book includes a free eBook in PDF format.

Key Features

Get to grips with the tidyverse, challenging data, and big data

Create clear and concise data and model visualizations that effectively communicate results to stakeholders

Solve a variety of problems using regression, ensemble methods, clustering, deep learning, probabilistic models, and more

Book DescriptionDive into R with this data science guide on machine learning (ML). Machine Learning with R, Fourth Edition, takes you through classification methods like nearest neighbor and Naive Bayes and regression modeling, from simple linear to logistic. Dive into practical deep learning with neural networks and support vector machines and unearth valuable insights...