Chapter 1: Introduction to Machine Learning and R.- Chapter 2: Data Preparation and Exploration.- Chapter 3: Sampling and Resampling Techniques.- Chapter 4: Visualization of Data.- Chapter 5: Feature Engineering.- Chapter 6: Machine Learning Models: Theory and Practice.- Chapter 7: Machine Learning Model Evaluation.-Chapter 8: Model Performance Improvement.- Chapter 9: Scalable Machine Learning an...