Chapter 1: Getting Started with MachineLearning and Python

Chapter 2: Exploring the 20 NewsgroupsDataset with Text Analysis Techniques

Chapter 3: Mining the 20 NewsgroupsDataset with Clustering and Topic ModelingAlgorithms

Chapter 4: Detecting Spam Email with NaiveBayes

Chapter 5: Classifying Newsgroup Topicswith Support Vector Machines

Chapter 6: Predicting Online Ad Click-Through with Tree-Based Algorithms

Chapter 7: Predicting Online Ad Click-Through with Logistic Regression

Chapter 8: Scaling Up Prediction to TerabyteClick Logs

Chapter 9: Stock Price Prediction withRegression Algorithms

Chapter 10: Machine Learning BestPractices