000			02277cam a2200385 i 4500
001			22382931
003			OSt
005			20220810225512.0
008			220114s2021 nyua b 001 0 eng
010			_a 2021425424
020			_a9781617296253 _q(softcover)
040			_aDLC _beng _erda _cDLC _dDLC
042			_apcc
050	0	0	_aQA76.9.D343 _bA3485 2021
082	0	4	_a006.312 APE _223
092			_20
100	1		_aApeltsin, Leonard, _eauthor.
245	1	0	_aData science bookcamp : _bfive Python projects / _cLeonard Apeltsin.
264		1	_aShelter Island, NY : _bManning Publications Co., _c[2021]
300			_axxvi, 676 pages : _billustrations ; _c24 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
500			_aSubtitle on cover: five real-world Python projects.
504			_aIncludes bibliographical references and 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)
843			_aPhotocopy
887			_2CamTech Library
906			_a7 _bcbc _corigres _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBK _n0
999			_c455 _d455