| Chapter | Title |
|---|---|
| Chapter 2 | Exploring the 20 Newsgroups Dataset with Text Analysis Techniques |
| Chapter 3 | Mining the 20 Newsgroups Dataset with Clustering and Topic Modeling Algorithms |
| Chapter 4 | Detecting Spam Email with Naive Bayes |
| Chapter 5 | Classifying Newsgroup Topics with 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 Terabyte Click Logs 234 Learning the essentials of Apache Spark |
| Chapter 9 | Stock Price Prediction with Regression Algorithms 262 Brief overview of the stock market and stock prices 263 What is regression? |
| Chapter | Title |
|---|---|
| Chapter 4 | Feature Engineering and Selection |
| Chapter 5 | Building, Tuning, and Deploying Models |
| Chapter 6 | Analyzing Bike Sharing Trends |
| Chapter 7 | Analyzing Movie Reviews Sentiment |
| Chapter 8 | Customer Segmentation and Effective Cross Selling |
| Chapter 9 | Analyzing Wine Types and Quality |
| Chapter 10 | Analyzing Music Trends and Recommendations |
| Chapter 11 | Forecasting Stock and Commodity Prices |
| Chapter 12 | Deep Learning for Computer Vision |