Python Machine Learning: A Comprehensive Guide to Building Intelligent Applications with Python (2023 Beginner Crash Course)
(eBook)

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Published
Glen Jennings, 2023.
ISBN
9783988312358
Status
Available Online

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Format
eBook
Language
English

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APA Citation, 7th Edition (style guide)

Glen Jennings., & Glen Jennings|AUTHOR. (2023). Python Machine Learning: A Comprehensive Guide to Building Intelligent Applications with Python (2023 Beginner Crash Course) . Glen Jennings.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Glen Jennings and Glen Jennings|AUTHOR. 2023. Python Machine Learning: A Comprehensive Guide to Building Intelligent Applications With Python (2023 Beginner Crash Course). Glen Jennings.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Glen Jennings and Glen Jennings|AUTHOR. Python Machine Learning: A Comprehensive Guide to Building Intelligent Applications With Python (2023 Beginner Crash Course) Glen Jennings, 2023.

MLA Citation, 9th Edition (style guide)

Glen Jennings, and Glen Jennings|AUTHOR. Python Machine Learning: A Comprehensive Guide to Building Intelligent Applications With Python (2023 Beginner Crash Course) Glen Jennings, 2023.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID40e5cad7-8df1-b09d-912c-fc6f67eeed5a-eng
Full titlepython machine learning a comprehensive guide to building intelligent applications with python 2023 beginner crash course
Authorjennings glen
Grouping Categorybook
Last Update2023-10-19 16:01:16PM
Last Indexed2024-05-10 22:04:49PM

Book Cover Information

Image Sourcehoopla
First LoadedNov 28, 2023
Last UsedMay 15, 2024

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    [synopsis] => Python is one of the most popular programming languages used for data analysis and machine learning. "Python Machine Learning” is a comprehensive guide that will teach you how to build intelligent systems using Python.
• Learn the fundamentals of Python and its libraries for machine learning
• Understand the different types of machine learning techniques and their applications
• Explore data preprocessing techniques to prepare your data for machine learning algorithms
• Build predictive models using supervised learning algorithms such as regression and classification
• Discover unsupervised learning techniques such as clustering and dimensionality reduction
• Apply reinforcement learning algorithms to build intelligent agents that can learn from experience
• Deploy machine learning models and create a scalable system using cloud platforms
And Much More!

This book is designed for beginners and intermediate-level users who want to learn machine learning using Python. It provides a step-by-step guide with practical examples, making it easy to understand and apply the concepts. Whether you are a programmer, data analyst, or a data scientist, this book will help you build intelligent systems using Python.
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