Data science bookcamp

Data science bookcamp: five Python projects

by Apeltsin, Leonard

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Title Statements

  • Full title :Data science bookcamp : five Python projects / Leonard Apeltsin.

Edition Statements

  • Publication Date:2021

Publication Statements

Notes

Subtitle on cover: five real-world Python projects.

The Physical Object

  • Description:1 online resource (xxvi, 676 pages :) : illustrations.

Edition Identifiers

  • ISBN:9781617296253, 1617296252
  • oclc:on1300793766
  • Dewey Decimal:006.312

Table of Contents

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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Subjects

Data Mining Data sets Datasets as Topic Exploration de données (Informatique) Jeux de données Python (Computer program language) Python (Langage de programmation)

Writers

Apeltsin, Leonard

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