- R Machine Learning By Example
- Table of Contents
- 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
- Predictive analytics
- How to predict credit risk
- Important concepts in predictive modeling
- Getting the data
- Data preprocessing
- Feature selection
- Modeling using logistic regression
- Modeling using support vector machines
- Modeling using decision trees
- Modeling using random forests
- Modeling using neural networks
- Model comparison and selection
- Summary
- 7. Social Media Analysis – Analyzing Twitter Data
- 8. Sentiment Analysis of Twitter Data
- Index
Alexey Grigorev is a skilled data scientist and software engineer with more than 5 years of professional experience. He currently works as a data scientist at Searchmetrics. In his day-to-day job, he actively uses R and Python for data cleaning, data analysis, and modeling. He has been a reviewer on other Packt Publishing books on data analysis, such as Test-Driven Machine Learning and Mastering Data Analysis with R.
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