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Autor(en): 
  • Shree Shambav
  • Optimum Python Power Series IV: Unleashing the Potential of Data Science with Machine Learning Techniques 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Mai 2025  
    Genre:  EDV / Informatik 
     
    Advanced Python Machine Learning and Data Science Guide / Data Science with Python and Machine Learning Techniques / Datenbankdesign und -theorie / Python for Data Analysis and Data Visualization
    ISBN:  9789334300697 
    EAN-Code: 
    9789334300697 
    Verlag:  Shree Shambav Ink & Imagination "Where Words Breat 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 203 mm / D 50 mm 
    Gewicht:  2476 gr 
    Seiten:  790 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Unlocking the Power of Data Science: Mastering Models, Algorithms, and Core Intuition! Welcome to the "OPTIMUM Python Power Series IV," where we embark on an exciting exploration of the vast potential of data science through the mastery of models, algorithms, and core intuition. In this book, we will delve into the world of data science, uncovering the remarkable capabilities that enable us to analyse, visualise, and derive insights from data. Python has revolutionised the landscape of data science, providing an extensive array of tools and functionalities that streamline intricate tasks and empower data scientists to address real-world challenges. From data manipulation and preprocessing to statistical analysis, machine learning, and data visualisation, Python offers the building blocks that form the foundation of modern data science workflows. "OPTIMUM Python Power Series IV" serves as your comprehensive guidebook to mastering machine learning and harnessing its full potential. Get ready to embark on an exhilarating journey as we delve into the world of data science, mastering models, algorithms, and core intuition. This book is your ultimate guide to unlocking the immense power and potential of Python in the field of data science. Comprehensive Roadmap In this book, we have meticulously curated a comprehensive roadmap that will take you through the intricacies of approaching data science projects using various models. We believe that Python is not just a programming language but a gateway to a multitude of tools and resources that empower you to tackle complex data challenges with ease and efficiency. With "OPTIMUM Python Power Series IV" as your trusted companion, you will navigate through the vast landscape of data science. By the time you reach the end of this journey, you will possess a profound understanding of how to approach data science projects. You will gain the skills and knowledge required to efficiently handle data, perform complex computations, visualise trends and patterns, implement machine learning algorithms, and extract valuable insights from various data sources. Target Audience Whether you are a beginner, taking your first steps into the world of data science or an experienced practitioner looking to expand your toolkit, "OPTIMUM Python Power Series IV" aims to be a comprehensive, and practical, empowering readers to harness the full potential of Python libraries, models, and algorithms in their data science endeavours. Why This Book? Targeted Audience and Focus: Beginners, intermediate developers, and domain-specific professionals will find this book useful. It focuses on specific libraries or library combinations, offering in-depth coverage and practical examples for those specific areas of interest. Pedagogical Approach: This book creates a classroom-like environment with effective learning strategies, step-by-step tutorials, practical exercises, and real-world examples to ensure that readers understand and can apply the concepts. Book Coverage Let's take a closer look at what this book covers: Fundamentals of Data Science and Python Standard Library Data manipulation and preprocessing techniques Statistical analysis and visualisation methods Machine learning algorithms and their applications Advanced topics and real-world case studies

      



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