Mastering Python Data Analysis

Table of Contents

1. Tools of the Trade
2. Exploring data
3. Learning about Models
4. Regression
5. Clustering
6. Delving into Bayesian Methods
7. Using Python for Machine learning
8. Time Series Analysis
9. Appendix