Book Content
chapters • 12h44m total length
1. Getting Started with Machine Learning and Python
2. Exploring the 20 Newsgroups Dataset with Text Analysis Techniques
3. Mining the 20 Newsgroups Dataset with Clustering and Topic Modeling Algorithms
4. Detecting Spam Email with Naive Bayes
5. Classifying News Topic with Support Vector Machine
6. Predicting Online Ads Click-through with Tree-Based Algorithms
7. Predicting Online Ads Click-through with Logistic Regression
8. Scaling Up Prediction to Terabyte Click Logs
9. Stock Price Prediction with Regression Algorithms
10. Machine Learning Best Practices
