From the Book - Regular Print
1. Computing probabilities using Python
2. Plotting probabilities using Matplotlib
3. Running random simulations in NumPy
5. Basic probability and statistical analysis using SciPy
6. Making predictions using the central limit theorem and SciPy
7. Statistical hypothesis testing
8. Analyzing tables using Pandas
10. Clustering data into groups
11. Geographic location visualization and analysis
12. Case study 3 solution
13. Measuring text similarities
14. Dimension reduction of matrix data
15. NLP analysis of large text datasets
16. Extracting text from web pages
17. Case study 4 solution
18. An introduction to graph theory and network analysis
19. Dynamic graph theory techniques for node ranking and social network analysis
20. Network-driven supervised machine learning
21. Training linear classifiers with logistic regression
22. Training nonlinear classifiers with decision tree techniques
23. Case study 5 solution.
