000			nam a22 4500
999			_c10213 _d10213
005			20191203150954.0
008			191126b xxu||||| |||| 00| 0 eng d
020			_a9788126579907
040			_cAIKTC-KRRC
041			_aENG
082			_2DDC23 _bPRA/KUM _a006.31
100			_910673 _aPradhan, Manaranjan
245			_aMachine learning using python
260			_aNew Delhi _bWiley India _c2019
300			_axx, 343p. _bPaperback _c24*18.2 cm
520			_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, recommender 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		0	_94619 _aEXTC Engineering
700			_910674 _aKumar, U. Dinesh
942			_2ddc _cBK