R All-in-One For Dummies

Book 4

Learning from Data

Contents at a Glance

1. Chapter 1: Tools and Data for Machine Learning Projects
   1. The UCI (University of California-Irvine) ML Repository
   2. Introducing the Rattle package
   3. Using Rattle with iris
2. Chapter 2: Decisions, Decisions, Decisions
   1. Decision Tree Components
   2. Decision Trees in R
   3. Decision Trees in Rattle
   4. Project: A More Complex Decision Tree
   5. Suggested Project: Titanic
3. Chapter 3: Into the Forest, Randomly
   1. Growing a Random Forest
   2. Random Forests in R
   3. Project: Identifying Glass
   4. Suggested Project: Identifying Mushrooms
4. Chapter 4: Support Your Local Vector
   1. Some Data to Work With
   2. Separability: It’s Usually Nonlinear
   3. Support Vector Machines in R
   4. Project: House Parties
5. Chapter 5: K-Means Clustering
   1. How It Works
   2. K-Means Clustering in R
   3. Project: Glass Clusters
6. Chapter 6: Neural Networks
   1. Networks in the Nervous System
   2. Artificial Neural Networks
   3. Neural Networks in R
   4. Project: Banknotes
   5. Suggested Projects: Rattling Around
7. Chapter 7: Exploring Marketing
   1. Analyzing Retail Data
   2. Enter Machine Learning
   3. Suggested Project: Another Data Set
8. Chapter 8: From the City That Never Sleeps
   1. Examining the Data Set
   2. Warming Up
   3. Quick Suggested Project: Airline Names
   4. Suggested Project: Departure Delays
   5. Quick Suggested Project: Analyze Weekday Differences
   6. Suggested Project: Delay and Weather