Practical Data Science Cookbook, Second Edition

Table of Contents

1. Preparing Your Data Science Environment
2. Driving Visual Analysis with Automobile Data with R
3. Creating Application-oriented Analyses Using Tax Data with Python
4. Modeling Stock Market Data
5. Visually Exploring Employment Data
6. Driving Visual Analyses with Automobile Data
7. Working with Social Graphs
8. Recommending Movies at Scale
9. Harvesting and Geolocating Twitter Data
10. Forecasting New Zealand Overseas Visitors
11. German Credit Data Analysis