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    Python Machine Learning for Beginners: A Step by Step Approach to Scikit-Learn and TensorFlow
    Python Machine Learning for Beginners: A Step by Step Approach to Scikit-Learn and TensorFlow
    Python Machine Learning for Beginners: A Step by Step Approach to Scikit-Learn and TensorFlow
    Ebook77 pages56 minutes

    Python Machine Learning for Beginners: A Step by Step Approach to Scikit-Learn and TensorFlow

    By Lena Neill

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    About this ebook



    Do you find yourself unsure of how to apply your existing knowledge to Python?

     

    If you are a beginner programmer who wants to learn Python Machine Learning, this book is for you.

    This book will help you understand how to use Python to apply your existing skills to machine learning problems.

    Machine learning is a fascinating and powerful field that uses machines to learn from data and perform tasks that humans cannot do easily.

    In this book, you will learn about:

    The basics and history of machine learning
    The different types of machine learning methods
    How to use support vector machines to classify data
    How to build neural networks to model complex patterns
    How the Internet of Things (IoT) connects machines and devices
    What the future of machine learning looks like
    And much more…

    This book is designed for beginners, with simple and clear explanations and step-by-step examples. It will help you get started with Python Machine Learning and discover its amazing potential.

    LanguageEnglish
    PublisherLena Neill
    Release dateFeb 27, 2024
    ISBN9798224206964
    Python Machine Learning for Beginners: A Step by Step Approach to Scikit-Learn and TensorFlow

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      Python Machine Learning for Beginners - Lena Neill

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