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008 181219s2018 xxu|||| o |||| 0|eng
010 _a 2019758735
020 _a9781484241134
024 7 _a10.1007/978-1-4842-4113-4
_2doi
035 _a(DE-He213)978-1-4842-4113-4
040 _aDLC
_beng
_epn
_erda
_cAIMIT LIBRARY
072 7 _aCOM051360
_2bisacsh
072 7 _aUMX
_2bicssc
072 7 _aUMX
_2thema
082 0 4 _a005.762
_21
_bPORV
100 1 _aPorcu, Valentina,
_932682
245 1 0 _aPython for Data Mining Quick Syntax Reference /
_cby Valentina Porcu.
250 _a1st ed.
_bSouth Asian Edition
260 _aBerkeley, CA :
_bApress :
_c2018
264 1 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2018.
300 _axv, 260p ;
_c23.3 cm
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1. Getting Started -- 2. Introductory Notions -- 3. Basic Objects and Structures -- 4. Functions -- 5. Conditional Instructions and Writing Functions -- 6. Other Basic Concepts -- 7. Importing Files -- 8. pandas -- 9. SciPy and NumPy -- 10. Matplotlib -- 11. scikit-learn.
520 _aLearn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis. Python for Data Mining Quick Syntax Reference covers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them. The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning.
588 _aDescription based on publisher-supplied MARC data.
650 0 _aBig data.
_932683
650 0 _aPython (Computer program language).
_932684
650 1 4 _aPython.
_932685
650 2 4 _aBig Data.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I29120
_932686
776 0 8 _iPrint version:
_tPython for data mining quick syntax reference
_z9781484241127
_w(DLC) 2018966554
776 0 8 _iPrinted edition:
_z9781484241127
776 0 8 _iPrinted edition:
_z9781484241141
776 0 8 _iPrinted edition:
_z9781484247426
906 _a0
_bibc
_corigres
_du
_encip
_f20
_gy-gencatlg
942 _2ddc
_cBK
_e1st
_k005.762 PORV
999 _c222702
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