000			nam a22 4500
999			_c32742 _d32742
008			240213b xxu||||| |||| 00| 0 eng d
020			_a9789393330345
082			_a006.312 _bARO
100			_aArora, Sandhya
245			_aData science and analytics with python
260			_aHyderabad : _bUniversities Press, _c2023
300			_ax, 488 p. ; _bill., _c25 cm.
365			_b750.00 _cINR _d01
504			_aIncludes bibliographical references and index.
520			_aData Science and Machine Learning are the leading buzzwords of today. This book covers all aspects of these subjects, from data definition and categorization, classification techniques, clustering and ML algorithms to data stream and association rule mining, language data processing and neural networks. It explains descriptive and inferential statistical analysis, probability distribution and density functions as well as time series. It also describes the fundamentals of Python programming, the Python environment and libraries such as scikit-learn, NumPy and pandas, and takes a deep dive into data visualization modules and tools.
650			_aComputer science and technology
650			_aNumPy and pandas
650			_aData visualization
650			_aMachine learning and data pre-processing
650			_aData stream mining
650			_aApriori algorithm
650			_aClustering
650			_aDeep neural network
650			_aConvolutional neural network
650			_aData stream mining
700			_aMalik, Latesh
942			_2ddc _cBK