Python Machine Learning Workbook for Beginners: 10 Machine Learning Projects Explained from Scratch Machine Learning & Data Science for Beginners Paperback – December 14, 2020
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Python Machine Learning Workbook for Beginners: 10 Machine Learning Projects Explained from Scratch Machine Learning & Data Science for Beginners Paperback – December 14, 2020
This is the best time you could enter the exciting machine learning universe.
Python Machine Learning Workbook for Beginners: 10 Machine Learning Projects Explained from Scratch Machine Learning & Data Science for Beginners Paperback – December 14, 2020
Nº de artículo: 39549460

Python Machine Learning Workbook for Beginners: 10 Machine Learning Projects Explained from Scratch Machine Learning & Data Science for Beginners

Nº de artículo: 39549460
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Shop Python Machine Learning Workbook for Beginners: 10 Machine Learning Projects Explained from Scratch Machine Learning & Data Science for Beginners Paperback – December 14, 2020 online at a best price in Puerto Rico. 1734790172
Publisher u200f : u200eAI Publishing LLC (December 14, 2020)
Language u200f : u200eEnglish
Paperback u200f : u200e282 pages
ISBN-10 u200f : u200e1734790172
ISBN-13 u200f : u200e978-1734790177
Item Weight u200f : u200e1.01 pounds (0.45 kg)
Dimensions u200f : u200e6 x 0.64 x 9 inches (15.2 x 1.6 x 22.9 cm)
What is in the boxPython Machine Learning Workbook... For more details, please check description/product details

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Python Machine Learning Workbook for Beginners: 10 Machine Learning Projects Explained from Scratch Machine Learning & Data Science for Beginners Paperback – December 14, 2020

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AI Publishing Databases & Big Data Editorial Review

The "Python Machine Learning Workbook for Beginners" is a great resource for those who are new to machine learning and data science. This book provides a simple and straightforward approach to learning the essentials of machine learning. It is a part of the AI Publishing Series of Python ML books that concentrate on one aspect at a time. The book has easy-to-understand explanations of concepts and provides over 10 hands-on projects to help readers practice and hone their skills. The book comes in a paperback format that is comfortable to hold and allows readers to take notes and highlight as required. Reviewers have praised the book for its effectiveness in teaching both beginners and instructors in the field of machine learning.

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ventajas

  • Simple and straightforward approach to learning machine learning concepts
  • Provides over 10 hands-on projects for readers to practice and hone their skills
  • Comes in a paperback format that is comfortable to hold and allows readers to take notes and highlight as required

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características y beneficios

  • ML tools empower organizations to identify profitable opportunities and understand potential risks better.
  • Hands-on practice is crucial in machine learning and projects play a crucial role in the learning journey.
  • The book presents a roadmap for step by step learning approach to data science and machine learning, a crash course on Python for beginners, and 10 compelling machine learning and data science-based projects.
  • Each project provides a brief explanation of theoretical concepts followed by practical examples, with Python notebooks and easily accessible datasets provided.
  • Enrich your portfolio, find great job opportunities, explore career paths, and even negotiate higher pay packages with the practical experience gained from the book.
  • The book will help you accomplish your machine learning career goals faster.

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