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R Machine Learning By Example

You're reading from  R Machine Learning By Example

Product type Book
Published in Mar 2016
Publisher
ISBN-13 9781784390846
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
Raghav Bali Raghav Bali

Table of Contents (15) Chapters

R Machine Learning By Example
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
1. Getting Started with R and Machine Learning 2. Let's Help Machines Learn 3. Predicting Customer Shopping Trends with Market Basket Analysis 4. Building a Product Recommendation System 5. Credit Risk Detection and Prediction – Descriptive Analytics 6. Credit Risk Detection and Prediction – Predictive Analytics 7. Social Media Analysis – Analyzing Twitter Data 8. Sentiment Analysis of Twitter Data Index

Summary


We explored several important areas in the world of supervised learning in this chapter. If you have followed this chapter from the beginning of our journey and braved your way till the end, give yourself a pat on the back! You now know what constitutes predictive analytics and some of the important concepts associated with it. Also, we have seen how predictive modeling works and the full predictive analytics pipeline in actual practice. This will enable you to build your own predictive models in the future and start deriving valuable insights from model predictions. We also saw how to actually use models to make predictions and evaluate these predictions to test model performance so that we can optimize the models further and then select the best model based on metrics as well and business requirements. Before we conclude and you start your own journey into predictive analytics, I will like to mention that you should always remember Occam's razor, which states that Among competing...

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