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Practical Machine Learning with R

You're reading from  Practical Machine Learning with R

Product type Book
Published in Aug 2019
Publisher Packt
ISBN-13 9781838550134
Pages 416 pages
Edition 1st Edition
Languages
Authors (3):
Brindha Priyadarshini Jeyaraman Brindha Priyadarshini Jeyaraman
Profile icon Brindha Priyadarshini Jeyaraman
Ludvig Renbo Olsen Ludvig Renbo Olsen
Profile icon Ludvig Renbo Olsen
Monicah Wambugu Monicah Wambugu
Profile icon Monicah Wambugu
View More author details
Toc

Table of Contents (8) Chapters close

About the Book 1. An Introduction to Machine Learning 2. Data Cleaning and Pre-processing 3. Feature Engineering 4. Introduction to neuralnet and Evaluation Methods 5. Linear and Logistic Regression Models 6. Unsupervised Learning 1. Appendix

Identifying the Category of Prediction

Based on the category of prediction, we will perform different pre-processing steps. The category of prediction could be any of these:

  • Categorical Prediction: In this type of prediction, the output to be predicted will have class values such as yes, no, or given categories.
  • Numeric Prediction: In a numeric prediction, the output that will be predicted is a numeric value, such as predicting the cost of a house.
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