008 |
|
240820s2021 nyu abd 001 0 eng |
010 |
|
|a2021425424
|
020 |
|
|a9781617296253 (pbk.) :|cUS59.99
|
040 |
|
|aDLC|beng|cDLC|dDLC|dNOU
|
042 |
|
|apcc
|
050 |
00
|
|aQA76.9.D343|bA3485 2021
|
082 |
04
|
|a006.312|223
|
095 |
|
|aLB|bLBF|cE020661|dQA76.9.D343|eA641|y2021|fWJ|n1693|pBook|tLCC
|
100 |
1
|
|aApeltsin, Leonard.
|
245 |
10
|
|aData Science Bookcamp :|bFIVE PYTHON PROJECTS /|cLeonard Apeltsin.
|
246 |
30
|
|aFIVE PYTHON PROJECTS
|
250 |
|
|a1st ed.
|
260 |
|
|aShelter Island, NY :|bManning Publications Co.,|c2021
|
300 |
|
|axxvi, 676 p. :|bill., maps,Charts ;|c24 cm.
|
500 |
|
|aSubtitle on cover: five real-world Python projects.
|
500 |
|
|aIncludes index.
|
505 |
0
|
|a1. 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.
|
650 |
0
|
|aData mining.
|
650 |
0
|
|aData sets.
|
650 |
0
|
|aPython (Computer program language)
|