000			01405nam a22002417a 4500
003			OSt
005			20260211162518.0
008			260210b |||||||| |||| 00| 0 eng d
020			_a9789370609167
040			_cAIMIT LIBRARY
082			_22 _a006.31 _bPRAM
100			_aPradhan, Manaranjan. _9254213
245			_aMachine learning using python / _cBy Manaranjan Pradhan and U Dinesh Kumar.
250			_a2nd ed.
260			_aNew Delhi : _bWiley India Pvt Ltd , _c2025.
300			_axxvi,439 p.; _bPB _c24 cm.
500			_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			_aExploratory data analysis _9254214
650			_aProbability and statistics _9254215
650			_aRegression _9254216
700			_aKumar, U Diinesh. _9254217
942			_2ddc _cBK _k006.31 PRAM
999			_c240862 _d240862