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    Introduction to Data Science Using Python

    Posted By: AvaxGenius
    Introduction to Data Science Using Python

    Introduction to Data Science Using Python by Afrand Agah, Ph.D.
    English | PDF EPUB (True) | 2025 Updated | 117 Pages | ISBN : N/A | 12.1 MB

    This book contains two parts, the first is designed to be used in an introductory programming course for students looking to learn Python, without having any prior experience with programming. Basic programming concepts are discussed, explained, and illustrated with a Python program. Ample programming questions are provided for practice. The second part of the book utilizes machine-learning concepts and statistics to accomplish data-driven resolutions. Python programs are provided to apply scientific computing to conclude statistically driven results.

    Structural Health Monitoring Based on Data Science Techniques (Repost)

    Posted By: AvaxGenius
    Structural Health Monitoring Based on Data Science Techniques (Repost)

    Structural Health Monitoring Based on Data Science Techniques by Alexandre Cury
    English | EPUB | 2022 | 490 Pages | ISBN : 3030817156 | 105.3 MB

    The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of “big data” availability and advanced data science. Such data availability coupled with a wide variety of machine learning and data analytics techniques have led to rapid advancement of how SHM is executed, enabling increased transformation from research to practice.

    The Handbook of Data Science and AI

    Posted By: hill0
    The Handbook of Data Science and AI

    The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics
    English | 2022 | ISBN: 1569909342 | 606 Pages | EPUB (True) | 45 MB

    Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 1 (Repost)

    Posted By: AvaxGenius
    Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 1 (Repost)

    Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 1 by Mukesh Saraswat
    English | PDF,EPUB | 2022 | 845 Pages | ISBN : 9811651191 | 174.5 MB

    This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2021), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from April 10 to 11, 2021. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

    Test-Driven Data Analysis

    Posted By: DexterDL
    Test-Driven Data Analysis

    Test-Driven Data Analysis
    English | 2026 | ISBN: 1032897156 | 793 pages | True EPUB | 12.61 MB

    Data Science - Supervised Machine Learning in Python

    Posted By: IrGens
    Data Science - Supervised Machine Learning in Python

    Data Science - Supervised Machine Learning in Python
    ISBN: 9781807785796 | .MKV, AVC, 1280x720, 10 fps | English, AAC, 2 Ch | 3h 50m | 620 MB
    Instructor: Lazy Programmer

    Machine Learning & Deep Learning : Python Practical Hands-on

    Posted By: Sigha
    Machine Learning & Deep Learning : Python Practical Hands-on

    Machine Learning & Deep Learning : Python Practical Hands-on
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English (UK) | Size: 4.80 GB | Duration: 10h 51m

    Master machine learning and data science with a practical, hands-on approach using Python. This course teaches you how to analyze data, build predictive models, and apply machine learning techniques to real-world problems using industry-standard tools and workflows.

    Proceedings of International Conference on Innovations in Data Science, Volume 1

    Posted By: hill0
    Proceedings of International Conference on Innovations in Data Science, Volume 1

    Proceedings of International Conference on Innovations in Data Science: ICIDS 2025, Volume 1
    English | 2026 | ISBN: 3032192994 | 480 Pages | PDF (True) | 46 MB

    Understanding Data

    Posted By: hill0
    Understanding Data

    Understanding Data: A 21st Century Approach to Statistics and Data Science
    English | 2026 | ISBN: 3032185998 | 674 Pages | PDF (True) | 249 MB

    Data Quality Testing with Great Expectations

    Posted By: IrGens
    Data Quality Testing with Great Expectations

    Data Quality Testing with Great Expectations
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 57m | 173 MB
    Instructor: Sam Bail

    Data Science First: Using Language Models in AI-Enabled Applications

    Posted By: hill0
    Data Science First: Using Language Models in AI-Enabled Applications

    Data Science First: Using Language Models in AI-Enabled Applications
    English | 2026 | ISBN: 1394390475 | 626 Pages | MOBI | 8 MB

    Recent Trends in Data Science and Soft Computing (Repost)

    Posted By: AvaxGenius
    Recent Trends in Data Science and Soft Computing (Repost)

    Recent Trends in Data Science and Soft Computing: Proceedings of the 3rd International Conference of Reliable Information and Communication Technology (IRICT 2018) by Faisal Saeed
    English | PDF | 2018 (2019 Edition) | 1133 Pages | ISBN : 3319990063 | 106.04 MB

    This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23–24, 2018. The main theme of the conference was “Data Science, AI and IoT Trends for the Fourth Industrial Revolution.”
    A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft Computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health Informatics, Reliable Cloud Computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods.

    Data Science: Semantic Technology, Intelligent Data Analytics, and Sustainability Practices

    Posted By: hill0
    Data Science: Semantic Technology, Intelligent Data Analytics, and Sustainability Practices

    Data Science: Semantic Technology, Intelligent Data Analytics, and Sustainability Practices
    English | 2026 | ISBN: 1041043961 | 297 Pages | PDF (True) | 157 MB

    Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs (Repost)

    Posted By: AvaxGenius
    Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs (Repost)

    Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs by Thomas W. MacFarland
    English | EPUB (True) | 2024 | 536 Pages | ISBN : 303146382X | 129.6 MB

    Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs defines and explores the term "data science" and discusses the many professional skills and competencies affiliated with the industry. With data science being a leading indicator of interest in STEM fields, the text also investigates this ongoing growth of demand in these spaces, with the goal of providing readers who are entering the professional world with foundational knowledge of required skills, job trends, and salary expectations.

    Machine Learning Regression Masterclass in Python

    Posted By: Sigha
    Machine Learning Regression Masterclass in Python

    Machine Learning Regression Masterclass in Python
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English (US) | Size: 5.17 GB | Duration: 10h 21m

    Master regression techniques in machine learning using Python with practical, hands-on lessons. This course teaches you how to build predictive models, analyze data, and apply regression algorithms to real-world problems with clarity and confidence.