000			01229nam a22001817a 4500
008			210302b ||||| |||| 00| 0 eng d
020			_a9788126579907 (pbk.)
041			_aEnglish
082			_a005.74 PRA
100			_aPradhan, Manaranjan
110			_aDinesh Kumar, U
245			_aMachine learning using python / _cManaranjan Pradhan, U. Dinesh Kumar
260			_aNew Delhi : _bWiley, _c2019. & Reprint 2023.
300			_axx, 343 p. : _bill. ; _c24 cm.
505			_aThis book is written to provide a strong foundation in machine learning using Python libraries by providing real-life case studies and examples. It covers topics such as foundations of machine learning, introduction to Python, descriptive analytics and predictive analytics. Advanced machine learning concepts such as decision tree learning, random forest, boosting, recommended systems, and text analytics are covered. The book takes a balanced approach between theoretical understanding and practical applications. All the topics include real-world examples and provide step-by-step approach on how to explore, build, evaluate, and optimize machine learning models.
650			_aComputer Science. _aBusiness analytics. _aMachine learning.
942			_c1
999			_c14852 _d14852