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A Road Map To Data Science Using Python

A Road Map To Data Science Using Python

A Road Map To Data Science Using Python
Type: Print Book
Genre: Education & Language
Language: English
Price: ₹394 + shipping
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Description

Python is now the most widely used programming
language for data analysis, machine learning, and
artificial intelligence, having completely transformed the
area of data science. It is a vital tool for data
professionals in all industries because of its adaptability
and strong ecology. A robust set of libraries and
frameworks that convert unprocessed data into insightful
knowledge is at the core of Python's data science
capabilities. High-performance numerical computing is
made possible by libraries like NumPy, which enable
intricate
mathematical operations and scientific
computations with previously unheard-of efficiency.
With data formats like DataFrames, Pandas changes the
game for data manipulation by enabling scientists to
precisely and easily clean, modify, and analyze
structured data

About the Author

Dr. Paramita Sarkar earned her B.Tech in Computer Science and Engineering (CSE) from Kalyani University in 2004 and her M.E. in CSE from WBUT in 2007. She has 18 years of teaching experience in various engineering colleges and is currently working as an Assistant Professor in the Department of CSE at JIS University, Kolkata. She received her Ph.D. (Tech) from the University of Calcutta in 2023. Dr. Sarkar has published numerous research papers and articles in national and international conferences and workshops. Her work has appeared in WoS, SCIE, and SCOPUS-indexed journals, and she holds granted patents from the UK Government and the Indian Government. She was also involved in the prestigious “SPINAKER” project on biometrics.

Dr. Abhrendu Bhattacharya was awarded his Ph.D. in the Computer Science and Engineering Department at Dr. A. P. J. Abdul Kalam University. He holds an M.Tech degree in Information Technology from IIEST (2011)...

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Book Details

ISBN: 9789367175064
Publisher: GEH Press
Number of Pages: 222
Dimensions: A5
Interior Pages: B&W
Binding: Paperback (Perfect Binding)
Availability: In Stock (Print on Demand)

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