Data Science Fundamentals & Practical Approaches
Publication details: BPB Publications 2020 New DelhiDescription: 634ISBN:- 9789389845662
- 005.74015 NAN
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
![]() |
Main Library Analytics | Reference book | 005.74015 NAN (Browse shelf(Opens below)) | Available | 119447 |
Browsing Main Library shelves, Shelving location: Analytics, Collection: Reference book Close shelf browser (Hides shelf browser)
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
||
005.74015 MUK Practical Automated Machine Learning on Azure | 005.74015 MUL Introduction to Machine Learning with Python: A Guide for Data Scientists | 005.74015 NAG India's Trade Analytics | 005.74015 NAN Data Science Fundamentals & Practical Approaches | 005.74015 NAR Basic Computational Techniques for Data Analysis | 005.74015 NIG Data Analysis with Excel | 005.74015 NOK Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn |
This book introduces the fundamental concepts of Data Science, which has proved to be a major game-changer in business solving problems.
Topics covered in the book include fundamentals of Data Science, data preprocessing, data plotting and visualization, statistical data analysis, machine learning for data analysis, time-series analysis, deep learning for Data Science, social media analytics, business analytics, and Big Data analytics. The content of the book describes the fundamentals of each of the Data Science related topics together with illustrative examples as to how various data analysis techniques can be implemented using different tools and libraries of Python programming language.
Each chapter contains numerous examples and illustrative output to explain the important basic concepts. An appropriate number of questions is presented at the end of each chapter for self-assessing the conceptual understanding. The references presented at the end of every chapter will help the readers to explore more on a given topic.
Source: https://in.bpbonline.com/products/data-science-python-programming-book-ebook?_pos=1&_sid=ecff3c0d3&_ss=r
There are no comments on this title.