Python Data Science Demystified
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Python Data Science Demystified
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Author : Chibudom Obasi
language : en
Publisher: Independently Published
Release Date : 2023-12-06
Python Data Science Demystified written by Chibudom Obasi and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-06 with categories.
"Python for Data Science: A Comprehensive Beginner's Guide" Embark on a transformative journey into the world of data science with Python as your guide! This comprehensive beginner's guide introduces Python's prowess in data analysis, visualization, and machine learning, making it an essential companion for newcomers to programming and enthusiasts eager to explore Python's data-centric features. Unlock the power of Python through: *Foundations of Python Programming* - Dive into Python's fundamentals, from variables and data types to control flow and loops. Gain a solid understanding of Python's syntax and structure, laying a strong foundation for data-centric exploration. *Data Structures and Operations* - Explore the versatility of data structures in Python, including lists, tuples, dictionaries, and sets. Master their operations, optimizing your data handling skills for efficient manipulation. *Data Manipulation and Visualization* - Harness the power of Pandas for data manipulation, learning to clean and preprocess messy data effectively. Discover the art of visual storytelling using Matplotlib and Seaborn, creating compelling visualizations to interpret data insights. *Introduction to Machine Learning* - Step into the realm of machine learning basics, understanding supervised and unsupervised learning paradigms. Dive into Scikit-learn, exploring classification, regression, and model evaluation techniques. *Real-world Applications and Projects* - Apply learned concepts through practical projects, from data analysis and visualization to building predictive models. Gain hands-on experience, tackling real-world datasets and deriving actionable insights. This book is designed to demystify Python's role in data science, offering a clear path to mastering its capabilities. With engaging explanations, practical examples, and hands-on exercises, "Python for Data Science" equips you with the skills to confidently navigate Python's data-driven landscape, setting you on a path towards becoming a proficient data scientist. Whether you're seeking to analyze data trends, create impactful visualizations, or delve into machine learning, this book serves as your gateway to leveraging Python for data-centric excellence.
Demystifying Big Data Analytics For Industries And Smart Societies
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Author : Keshav Kaushik
language : en
Publisher: CRC Press
Release Date : 2023-10-02
Demystifying Big Data Analytics For Industries And Smart Societies written by Keshav Kaushik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-02 with Computers categories.
This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. What sets this book apart is its in-depth coverage of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems for precision agriculture. The book also delves into the use of big data analytics in healthcare, energy management, and agricultural development, among others. The authors have used clear and concise language, along with relevant examples and case studies, to help readers understand the complex concepts involved in big data analytics. Key Features: Comprehensive coverage of the fundamentals of big data analytics In-depth discussion of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems Practical examples and case studies to help readers understand complex concepts Coverage of the use of big data analytics in various industries, including healthcare, energy management, and agriculture Discussion of challenges and legal frameworks involved in big data analytics Clear and concise language that is easy to understand This book is a valuable resource for business owners, data analysts, students, and anyone interested in the field of big data analytics. It provides readers with the tools they need to leverage the power of big data and make informed decisions that can help their organizations succeed. Whether you are new to the field or an experienced practitioner, "Demystifying Big Data Analytics for Industries and Smart Societies" is must-read.
Demystifying Ai
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Author : Dothang Truong
language : en
Publisher: CRC Press
Release Date : 2025-12-16
Demystifying Ai written by Dothang Truong and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-16 with Business & Economics categories.
As artificial intelligence advances at an exponential pace, understanding data science and machine learning has become increasingly essential. Yet, the wide range of available resources can be daunting, posing challenges for beginners. This second book builds on the foundation laid in the first, Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner, providing similar fundamental knowledge of data science and machine learning in an accessible way. It is specifically designed to cater to readers who prefer a hands-on guide using IBM SPSS Modeler, a widely popular software that does not require coding or programming skills. Like the first book, this volume helps learners from various non-technical fields gain practical insight into machine learning but shifts the focus to a different tool for those seeking alternatives to coding. In this book, readers are guided through practical implementations using real datasets and IBM SPSS Modeler, a user-friendly data mining tool. The approach remains consistent with a focus on application, providing step-by-step instructions for all stages of the data mining process using two large datasets, ensuring continuity and reinforcing concepts in a cohesive project framework. This book also offers practical advice on presenting data mining results effectively, aiding readers in communicating insights clearly to stakeholders. Together with the first book, this volume is a companion for beginners and experienced practitioners alike. It targets a broad audience, including students, lecturers, researchers, and industry professionals. It offers flexibility in learning pathways and deepens understanding of data science using easy-to-follow, software-based approaches.
Demystifying Emerging Trends In Green Technology
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Author : Pankaj Kumar Mishra
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-02-18
Demystifying Emerging Trends In Green Technology written by Pankaj Kumar Mishra and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Computers categories.
Demystifying Emerging Trends in Green Technology explores the transformative intersection of computational intelligence, disruptive technologies, and green innovations. This volume offers insights into diverse fields such as blockchain, IoT, artificial intelligence, machine learning, and sustainable development. Each chapter presents cutting-edge research and practical solutions addressing environmental sustainability, energy efficiency, and eco-friendly technologies. With contributions from leading researchers, this book discusses advancements like blockchain-based security, green marketing, smart waste management, sustainable agriculture, and innovative healthcare solutions. It emphasizes the role of interdisciplinary approaches in driving a greener and smarter future. Key Features: - Integration of AI, IoT, and blockchain in sustainable systems - Applications in healthcare, agriculture, energy, and environmental science - Practical and innovative solutions for real-world challenges - Insights into future trends in green technology and disruptive innovation.
Models Demystified
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Author : Michael Clark
language : en
Publisher: CRC Press
Release Date : 2025-08-15
Models Demystified written by Michael Clark and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-15 with Mathematics categories.
Unlock the Power of Data Science and Machine Learning In this comprehensive guide, we delve into the world of data science, machine learning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems. From basic modeling techniques to advanced machine learning algorithms, this book covers a wide range of topics,ensuring that readers at all levels can benefit from its content. Each chapter is meticulously crafted to offer clear explanations, hands-on examples, and code snippets in both Python and R, making complex concepts accessible and actionable. Additional focus is placed on model interpretation and estimation, common data issues, modeling pitfalls to avoid, and best practices for modeling in general.
Models Demystified
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Author : Michael Clark (Machine learning scientist)
language : en
Publisher:
Release Date : 2025-05
Models Demystified written by Michael Clark (Machine learning scientist) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05 with Data mining categories.
"In this comprehensive guide, we delve into the world of data science, machine learning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems. From basic modeling techniques to advanced machine learning algorithms, this book covers a wide range of topics, ensuring that readers at all levels can benefit from its content. Each chapter is meticulously crafted to offer clear explanations, hands-on examples, and code snippets in both Python and R, making complex concepts accessible and actionable. Additional focus is placed on model interpretation and estimation, common data issues, modeling pitfalls to avoid, and best practices for modeling in general"-- Provided by publisher.
Python Demystified
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Author : Kieran T
language : en
Publisher: Independently Published
Release Date : 2025-09-29
Python Demystified written by Kieran T and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-29 with Computers categories.
Unlock the Power of Python and Elevate Your Programming Skills! Python Demystified: Mastering Python from Scratch is your ultimate guide to understanding and mastering the most powerful, versatile, and beginner-friendly programming language on the planet. Unlock the Power of Python and Elevate Your Programming Skills! Whether you're a complete beginner or looking to solidify your skills, this book will equip you with everything you need to know to become a Python pro! Why This Book? Do you feel overwhelmed by complex coding languages? Are you struggling to make sense of Python's syntax and concepts? This book breaks down Python in a way that's easy to understand, with hands-on examples and real-world applications that will keep you engaged and excited to learn. What Will You Gain? By the end of this book, you'll be able to write clean, reusable, and efficient Python code for real-world projects. From mastering basic syntax to advanced concepts like object-oriented programming (OOP) and decorators, you'll be ready to tackle any challenge. And with step-by-step exercises and practical examples, you'll cement your skills and gain confidence. Who Should Read This? Beginners looking to dive into programming Developers wanting to learn Python for web development, data analysis, and machine learning Tech enthusiasts eager to build their own applications and automate their tasks When Should You Start? The time is now! Python's role in today's tech-driven world is only growing, and with this book in your hands, you'll have the tools you need to keep up with the demands of modern programming. Don't wait! Grab your copy now, and unlock the power of Python today. It's time to start your journey toward becoming a true Python expert!
Data Analysis Demystified
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Author : Serdar Uçar
language : en
Publisher: Serdar Ucar
Release Date : 2024-12-10
Data Analysis Demystified written by Serdar Uçar and has been published by Serdar Ucar this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-10 with Computers categories.
"Data Analysis Demystified: A Comprehensive Guide" is an accessible resource designed to simplify the complexities of data analysis for beginners and experienced practitioners alike. The book breaks down essential concepts, tools, and techniques used in data analysis, providing clear explanations and practical examples to enhance understanding. With a focus on real-world applications, it covers critical topics such as statistical methods, data visualization, and interpretation of results. This guide empowers readers to confidently analyze data, make informed decisions, and effectively communicate their findings, making it an indispensable tool for anyone looking to navigate the world of data analysis.
Python Data Science Essentials
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Author : Alberto Boschetti
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-10-28
Python Data Science Essentials written by Alberto Boschetti and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-28 with Computers categories.
Become an efficient data science practitioner by understanding Python's key concepts About This Book Quickly get familiar with data science using Python 3.5 Save time (and effort) with all the essential tools explained Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience Who This Book Is For If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills. What You Will Learn Set up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux Get data ready for your data science project Manipulate, fix, and explore data in order to solve data science problems Set up an experimental pipeline to test your data science hypotheses Choose the most effective and scalable learning algorithm for your data science tasks Optimize your machine learning models to get the best performance Explore and cluster graphs, taking advantage of interconnections and links in your data In Detail Fully expanded and upgraded, the second edition of Python Data Science Essentials takes you through all you need to know to suceed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. Dive into building your essential Python 3.5 data science toolbox, using a single-source approach that will allow to to work with Python 2.7 as well. Get to grips fast with data munging and preprocessing, and all the techniques you need to load, analyse, and process your data. Finally, get a complete overview of principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users. Style and approach The book is structured as a data science project. You will always benefit from clear code and simplified examples to help you understand the underlying mechanics and real-world datasets.
Python For Data Science For Dummies
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Author : John Paul Mueller
language : en
Publisher: John Wiley & Sons
Release Date : 2019-01-25
Python For Data Science For Dummies written by John Paul Mueller and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-25 with Computers categories.
The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.