Machine Learning Using R: With Time Series and Industry-Based Use Cases in R, 2nd Edition

Chapter 1: Introduction to Machine Learning.- Chapter 2: Data Exploration and Preparation.- 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: Time Series Modelling.- Chapter 10: Scalable Machine Learning and related technology.- Chapter 11: Introduction to Deep Learning Models using Keras and TensorFlow.