000			01364nam a22002777a 4500
999			_c444 _d444
003			BD-CoBAI
005			20241030020002.0
008			180924r20182015ii a b 001 0 eng d
020			_a9788126555925
040			_aBD-CoBAI _beng _cBD-CoBAI _dBD-CoBAI
082	0	4	_a006.31 _223 _bB681m
100			_aBowles, Michael, _eauthor. _91127
245	1	0	_aMachine Learning in Python : _bessential techniques for predictive analysis / _cMichael Bowles.
260			_aIndianapolis, IN : _aNew Delhi : _bJohn Wiley & Sons, Inc., _cc2015. [reprint 2018]
300			_axxix, 326 pages : _billustrations ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aThe two essential algorithms for making predictions -- Understand the problem by understanding the data -- Predictive model building : balancing performance, complexity, and big data -- Penalized linear regression -- Building predictive models using penalized linear methods -- Ensemble methods -- Building ensemble models with Python.
526			_aComputer Science and Engineering CSE
650		0	_aMachine learning. _9549
650		0	_aPython (Computer program language) _91128
650		4	_aPython (Lenguaje de programación para computadora) _92009
942			_2ddc _cBK _010