Data science bookcamp : five Python projects Inhaltsverzeichnis: 1. Computing probabilities using Python 2. Plotting probabilities using Matplotlib 3. Running random simulations in NumPy 4. Case study 1 solution 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 9. Case study 2 solution 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.