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portada Machine Learning With Python: An In-Depth Guide for Experts
Type
Physical Book
Author
Publisher
Language
English
Pages
156
Format
Paperback
Dimensions
22.9 x 15.2 x 0.8 cm
Weight
0.22 kg.
ISBN13
9781700074515
Categories

Machine Learning With Python: An In-Depth Guide for Experts

Travis Booth (Author) · Independently Published · Paperback

Machine Learning With Python: An In-Depth Guide for Experts - Booth, Travis

New Book Imported to New Zealand
Delivery: 24 Jul - 05 Aug Shipping: 17 to 21 business days.
NZ$ 63.21
Import costs and 15% GST included in the price ✅
NZ$ 63.21

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Synopsis "Machine Learning With Python: An In-Depth Guide for Experts"

Machine Learning Expertise Made SimpleMachine learning is one of the hottest topics going around right now but it can be difficult to understand where to begin. If you already have some coding experience then finding a book that strikes the right balance between concepts and practical examples can be difficult.Machine Learning With Python is your ultimate resource to master ML algorithms using Python's extensive libraries. Travis Booth, the author of Python Data Science, Linux for Beginners and Python Coding will take you on a deep dive into the world of ML using Python from A to Z.Whether you've had exposure to Python programming previously or if you're searching for a resource that is focused on teaching Python for beginners, this is the book for you.Here are some of the topics you will learn about: ML basics- Comparing learning models, regression analysis and much more.Machine learning computations- ideal for beginners with practical examplesPython for finance- financial applications of machine learningNatural language processingSentiment analysis using ML algorithmsLearn how to create your own ML models for real world applicationsand much more!Join all the people who have integrated machine learning into their skill set. Learn one of the most sought after and relevant skills employers are looking for!Click buy now!Bonus- Get the ebook completely free when you purchase the paperback with Kindle Matchbook

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