nam a22 7a 4500 13049 13049 OSt 20230912145743.0 230912b xxu||||| |||| 00| 0 eng d 9789393330345 AEF 23rd ed 006.3 ARO Arora, S. 282 Data science and analytics with python 1st ed. Hydrabad: Universities press, 2023 488 p.: 24 cm Data 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 students 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 Chapter-wise PowerPoint slides are available at: www.universitiespress.com/DataScienceandAnalyticswithPython Data science 3232 Programming language_Python 3233 Malik, L. 3234 ddc Book 0 0 ddc 0 0 AEF AEF 2023-09-16 20 600.00 1 8589 2025-06-11 2024-12-20 750.00 2023-09-16 Book 0 0 ddc 0 0 CS AEF AEF 2025-01-18 20 600.00 005.8 ARO 10061 2025-01-18 01 750.00 2025-01-18 Book