L O A D I N G
  •  Keyword
  •  Title
  •  Author
  •  Publisher
  •  ISBN

Data Science and Analytics with Python

Data Science and Analytics with Python
Sandhya Arora Universities Press Science & Technology English Paperback 9789393330345
MRP: Rs 750
Check Best Price
Find the best price for Data Science and Analytics with Python
Store Name Store Logo Condition Shipping Price Go to Store
Amazon.in New Book Free for Prime Members. Free for order of Rs 500+ (Otherwise Rs 40) Buy Now
Flipkart.com New Book Free on order of Rs 500+ (Otherwise Rs 40) Buy Now
Jiomart.com New Book Free Shipping Buy Now
Bookscape.com New Book Free Shipping Buy Now
Bookswagon.com New Book Rs 39 per book Buy Now
Amazon.com New Book Free on order of USD 25.00 Buy Now

RELATED TAGS

  • Sandhya Arora Books
  • Universities Books

AVAILABLE EDITIONS


9789393330345
Paperback
Rs 750
Complete Metadata
Publishing Group :
Pages : 500
Release Date : 21 July 2023
Edition :
Weight :
Dimension :
Sec Author/Narrator :
Series Name :
Book Awards :
ISBN-10/SKU/ASIN : 9393330344
BISAC Codes :
Place of Origin :
Main Distributor :
Goodreads Page :
Youtube Video :
Author’s Website :
Publisher’s Website :
Most Popular Categories
Deals by Big Brands

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

Sandhya Arora is Professor, Department of Computer Engineering, MKSSS’s Cummins College of Engineering, Pune, Maharashtra.

Books by Sandhya Arora

Daily Deals on Bestselling Books

Top 100 New Releases in Science & Technology

Related Searches: