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Data Science and Data Analytics Using Python at Meripustak

Data Science and Data Analytics Using Python

Books from same Author: Munesh Chandra Trivedi And Anil Kumar Dubey

Books from same Publisher: Khanna Book Publishing

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    • General Information  
    Author(s)Munesh Chandra Trivedi And Anil Kumar Dubey
    PublisherKhanna Book Publishing
    Edition1st Edition
    ISBN9789355384263
    Pages296
    BindingSoftcover
    LanguageEnglish
    Publish YearDecember 2024

    Description

    Khanna Book Publishing Data Science and Data Analytics Using Python by Munesh Chandra Trivedi And Anil Kumar Dubey

    The book is a comprehensive guide that delves into the fundamentals of data science and analytics leveraging the python programming language The Book covers key topics such as data manipulation visualization statistical analysis and machine learning it includes practical examples and code snippets to help readers understand and implement various data science techniques Designed for both beginners and experienced practitioners it provides a thorough understanding of how to use python for effective data The book also emphasizes real world applications making it a valuable resource for those looking to apply data science skills in various domains. SILENT FEATURES OF BOOK The textbook encompasses an extensive array of data science topics including data pre -processing visualization statistical analysis machine learning and deep learning with a pronounced emphasis on practical application using python programming It integrates case studies derived from real world scenarios alongside numerous exercises facilitating hands on practical experience The text provides detailed procedural guidance for implementing data science projects and explores various data visualization techniques utilizing libraries such as Matplotlib Seaborn and plotly It thoroughly examines a diverse range of machine learning algorithms and offers an introductory overview of deep learning concepts and frameworks including tensorFlow and keras The textbook incorporates expert tips best practices and focuses on high demand skills rendering it an invaluable resource for both novice and seasoned practitioners in the field of data science and analytics. Contents: 1. Introduction of data Science 2. Python Programming 3. Numpy and Pandas Library 4. Scikit Learn and Scipy Library 5. Data Manipulation 6. Modeling Techniques 7. Data Visualization 8. Data Analytics 9. Pre Processing 10. Stastics of data Analytics 11. Regression 12. Classification