Master machine learning techniques with R to deliver insights for complex projects
Key Features
Book Description
What you will learn
- Gain deep insights to learn the applications of machine learning tools to the industry
- Manipulate data in R efficiently to prepare it for analysis
- Master the skill of recognizing techniques for effective visualization of data
- Understand why and how to create test and training data sets for analysis
- Familiarize yourself with fundamental learning methods such as linear and logistic regression
- Comprehend advanced learning methods such as support vector machines
- Realize why and how to apply unsupervised learning methods
Who this book is for
Table of Contents
- Business Understanding - The Road toActionable Insights
- Linear Regression
- Logistic Regression and Discriminant Analysis
- Multivariate Regression part 2 ? AdvancedFeature Selection
- Classification ? Taking it to the Next Level
- Classification & Regression Trees
- Unsupervised Techniques ? PrincipalComponents
- Unsupervised Techniques ? Clustering
- Text Analysis
- Social Media Mining
- Advanced Applications
- Text Mining
- Appendix B: Getting R on the Cloud
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