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Index
Cover Introduction
WHAT DOES THIS BOOK COVER? READER SUPPORT FOR THIS BOOK
PART I: Getting Started
Chapter 1: What Is Machine Learning?
DISCOVERING KNOWLEDGE IN DATA MACHINE LEARNING TECHNIQUES MODEL SELECTION MODEL EVALUATION EXERCISES
Chapter 2: Introduction to R and RStudio
WELCOME TO R R AND RSTUDIO COMPONENTS WRITING AND RUNNING AN R SCRIPT DATA TYPES IN R EXERCISES
Chapter 3: Managing Data
THE TIDYVERSE DATA COLLECTION DATA EXPLORATION DATA PREPARATION EXERCISES
PART II: Regression
Chapter 4: Linear Regression
BICYCLE RENTALS AND REGRESSION RELATIONSHIPS BETWEEN VARIABLES SIMPLE LINEAR REGRESSION MULTIPLE LINEAR REGRESSION CASE STUDY: PREDICTING BLOOD PRESSURE EXERCISES
Chapter 5: Logistic Regression
PROSPECTING FOR POTENTIAL DONORS CLASSIFICATION LOGISTIC REGRESSION CASE STUDY: INCOME PREDICTION EXERCISES
PART III: Classification
Chapter 6: k-Nearest Neighbors
DETECTING HEART DISEASE k-NEAREST NEIGHBORS CASE STUDY: REVISITING THE DONOR DATASET EXERCISES
Chapter 7: Naïve Bayes
CLASSIFYING SPAM EMAIL NAÏVE BAYES CASE STUDY: REVISITING THE HEART DISEASE DETECTION PROBLEM EXERCISES
Chapter 8: Decision Trees
PREDICTING BUILD PERMIT DECISIONS DECISION TREES CASE STUDY: REVISITING THE INCOME PREDICTION PROBLEM EXERCISES
PART IV: Evaluating and Improving Performance
Chapter 9: Evaluating Performance
ESTIMATING FUTURE PERFORMANCE BEYOND PREDICTIVE ACCURACY VISUALIZING MODEL PERFORMANCE EXERCISES
Chapter 10: Improving Performance
PARAMETER TUNING ENSEMBLE METHODS EXERCISES
PART V: Unsupervised Learning
Chapter 11: Discovering Patterns with Association Rules
MARKET BASKET ANALYSIS ASSOCIATION RULES DISCOVERING ASSOCIATION RULES CASE STUDY: IDENTIFYING GROCERY PURCHASE PATTERNS EXERCISES NOTES
Chapter 12: Grouping Data with Clustering
CLUSTERING k-MEANS CLUSTERING SEGMENTING COLLEGES WITH -MEANS CLUSTERING CASE STUDY: SEGMENTING SHOPPING MALL CUSTOMERS EXERCISES NOTE
Index End User License Agreement
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