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Item #:
97199428
Python Machine Learning: The Ultimate and Complete Guide for Beginners on Data Science and Machine Learning with Python (Learning Technology,
89% of respondents would recommend this to a friend
Item #:
97199428
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This step-by-step, easy-to-read book shows you and prepares you for a luxurious journey into the world of Python and machine learning.
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What Stands Out
Comprehensive Guide
Offers an extensive overview of data science and machine learning, ensuring beginners grasp essential concepts and applications in Python programming effectively and comprehensively.
Beginner-Friendly
Crafted specifically for beginners, the book breaks down complex topics into digestible sections, facilitating a smoother learning curve and fostering an engaging approach to mastering machine learning.
Practical Applications
Includes real-world examples and practical projects, helping learners apply their knowledge immediately, bridging the gap between theory and practical implementation in Python.
Product Details
| Publisher | Independently published |
| Publication date | September 7, 2019 |
| Language | English |
| Print length | 178 pages |
| ISBN-10 | 1691523208 |
| ISBN-13 | 978-1691523207 |
| Item Weight | 11.5 ounces (326.03 grams) |
| Dimensions | 6 x 0.41 x 9 inches (15.2 x 1 x 22.9 cm) |
Who Should Buy?
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Beginners in Tech
Ideal for individuals new to programming and data science, providing foundational knowledge and hands-on examples.
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Students and Learners
Great resource for university students or self-learners seeking structured learning in Python and machine learning.
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Data Enthusiasts
Perfect for hobbyists and professionals wanting to explore data analysis and machine learning concepts practically.
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Experienced Developers
Not suitable for advanced users, as it covers basic concepts and may lack depth required by seasoned practitioners.
Product Description
Python Machine Learning: The Ultimate and Complete Guide for Beginners on Data Science and Machine Learning with Python (Learning Technology, Principles, and Applications)
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Customer Questions & Answers
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Question:
Is this book suitable for complete beginners?
Answer: Yes, it is designed for beginners with step-by-step guidance. -
Question:
What topics are covered in the book?
Answer: Topics include data science fundamentals, algorithms, statistics, and machine learning applications. -
Question:
Will I need any prior knowledge of programming?
Answer: No prior programming knowledge is required; the book starts from the basics.
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Pros
- Comprehensive coverage of topics
- Beginner-friendly explanations
- Practical examples and exercises
- Well-structured chapters
- High-quality visual aids
Cons
- Some advanced topics may feel brief.
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Features & Benefits
- Learn Python and machine learning in a simple, accessible way.
- Step-by-step guidance prepares you for your data science journey.
- Covers fundamentals, algorithms, and important concepts of machine learning.
- Includes practical examples and scientific studies to enhance understanding.
- Gain insights into the Python ecosystem and its advantages over other languages.
- Transform your view of Python and machine learning for easier understanding.
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