Python Machine Learning Cookbook

Table of Contents

1. The Realm of Supervised Learning
2. Constructing a Classifier
3. Predictive Modeling
4. Clustering with Unsupervised Learning
5. Building Recommendation Engines
6. Analyzing Text Data
7. Speech Recognition
8. Dissecting Time Series and Sequential Data
9. Image Content Analysis
10. Biometric Face Recognition
11. Deep Neural Networks
12. Visualizing Data