000			01402nam a22002537a 4500
005			20260727153927.0
008			260727s2026 |||||||| |||| 00| 0 eng d
020			_a9789819811236
040			_cPK-LaUMT
082			_a006.31 _bLIM-M
100	1		_aLim, Kian Guan _914282
245	1	0	_aMachine learning in business finance using Python / _cKian Guan Lim
260			_aNew Jersey : _bWorld Scientific, _c2026
300			_axxiii, 290 p.
490			_aWorld Scientific series on financial data analytics ; _vV.2
500			_aIncludes bibliographical references and index.
520			_aThis book is an introduction to machine learning using Python programming language with applications in finance and business. Coverages include the prediction methods of logistic regression, Naïve Bayes, k-Nearest Neighbor, Support Vector Machine, Random Forest, Gradient Boosting, and various types of Neural Networks. Performance measurements and assessments of feature importance are also explained. The book also contains detailed examples of the applications with data. Python codes are explained in a step-by-step manner using Jupyter Notebook so that the readers can practise on their own
546			_aEng
650			_aMachine learning
650			_aPython (Computer program language) _93584
650			_aFinance-data processing _98083
650			_aBusiness-data processing _99474
942			_cBK
999			_c141682 _d141682