In this chapter, you learned how to perform feature selection. After having loaded and explored the features, you saw how to transform them using discretization and binarization. You also converted categoric features into dummy variables. You understood the importance of feature selection and ranked the features using the information gain ratio. In the next chapter, we will predict the language using machine learning techniques.
R Machine Learning Essentials
By :
R Machine Learning Essentials
By:
Overview of this book
Table of Contents (15 chapters)
R Machine Learning Essentials
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Transforming Data into Actions
R – A Powerful Tool for Developing Machine Learning Algorithms
A Simple Machine Learning Analysis
Step 1 – Data Exploration and Feature Engineering
Step 2 – Applying Machine Learning Techniques
Step 3 – Validating the Results
Overview of Machine Learning Techniques
Machine Learning Examples Applicable to Businesses
Index
Customer Reviews