Book Image

R for Data Science

By : Dan Toomey
Book Image

R for Data Science

By: Dan Toomey

Overview of this book

Table of Contents (19 chapters)

Summary


In this chapter, we investigated machine learning in action using R. We learned about breaking up our dataset into a training and testing section. The examples showed how to use the predict method from our models. We generated models using linear regression, stepwise regression, k-nearest neighbor, Naïve Bayes, k-clustering, decision trees, neural net, and the random forest algorithms. We applied tests of the models' effectiveness.

In the next chapter, we will cover predicting events with machine learning.