Practical Data Analysis Cookbook

Table of Contents

1. Preparing the data
2. Exploring the data
3. Classification techniques
4. Clustering techniques
5. Dimensions reduction
6. Regression for predicting output
7. Time series techniques
8. Graphs
9. Natural Language Processing
10. Discrete choice models
11. Simulations