Python Machine Learning Essentials

Author:   Bernard Baah
Publisher:   Independently Published
Volume:   1
ISBN:  

9798884780767


Pages:   316
Publication Date:   22 March 2024
Format:   Paperback
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Our Price $76.53 Quantity:  
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Python Machine Learning Essentials


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Overview

""Python Machine Learning Essentials"" by Bernard Baah is your ultimate guide to mastering machine learning concepts and techniques using Python. Whether you're a beginner or an experienced programmer, this book equips you with the knowledge and skills needed to understand and apply machine learning algorithms effectively. With a comprehensive approach, Bernard Baah takes you through the fundamentals of machine learning, covering Python basics, data preprocessing, exploratory data analysis, supervised and unsupervised learning, neural networks, natural language processing, model deployment, and more. Each chapter is filled with practical examples, code snippets, and hands-on exercises to reinforce your learning and deepen your understanding. As the founder of Filly Coder (https: //fillycoder.com), Bernard Baah brings years of experience in machine learning and software development to this book. His expertise and passion for teaching shine through, making complex concepts accessible and understandable for readers of all levels. Whether you're a data scientist, developer, or aspiring AI enthusiast, ""Python Machine Learning Essentials"" is your go-to resource for mastering machine learning with Python. Dive into the world of machine learning and unlock the potential to build intelligent applications with confidence. Get your copy of ""Python Machine Learning Essentials"" today and embark on your journey to becoming a proficient machine learning practitioner

Full Product Details

Author:   Bernard Baah
Publisher:   Independently Published
Imprint:   Independently Published
Volume:   1
Dimensions:   Width: 15.20cm , Height: 1.70cm , Length: 22.90cm
Weight:   0.422kg
ISBN:  

9798884780767


Pages:   316
Publication Date:   22 March 2024
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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