000			01867nam a22001817a 4500
020			_a9789393330345
082			_a006.312 _bARO
100			_aArora, Sandhya
245			_a Data Science and Analytics with Python/ _cby Sandhya Arora, and Latesh Malik
260			_aHyderabad: _bUniversities Press, _c2023.
300			_ax, 488 p.
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. Mastery of these areas will enable readers to become proficient and effective data scientists. Salient features • Ideal for undergraduate courses on Data Science and Analytics • Provides step-by-step instructions for setting up the Python environment and executing various libraries and packages • All chapters include relevant case studies, their Python code and output; the last chapter is dedicated to case studies • Over 300 exercise questions comprising MCQs, programming exercises and concept-based questions, with answers provided for quick reference • Bibliography at the end of every chapter for further reading • Android app with chapter-wise PowerPoint slides and job interview questions.
650			_aData Science and Analytics with Python
650			_aData Analytics with Python
650			_aPython
700			_aMalik, Latesh
942			_2ddc _cBK
999			_c743132 _d743132