| ISBN： | 9781617296253 : |
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| 编目源： | DLC DLC OCLCF JRZ UKMGB OCLCO UIU |
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| 个人名称： | Apeltsin, Leonard, |
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| 题名： | Data science bookcamp : five Python projects / Edited by Leonard Apeltsin. |
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| 出版发行项： | Shelter Island, NY : Manning Publications Co., 2021 |
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| 载体形态： | xxvi, 676 pages : illustrations ; 24 cm |
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| 一般附注： | Subtitle on cover: five real-world Python projects. |
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| 书目附注： | Includes bibliographical references and index. |
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| 格式化内容附注： | 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. |
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