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Machine Learning with Python: A Practical Beginners’ Guide: 2 (Learn Machine Learning for Beginners)
89% of respondents would recommend this to a friend
MOP 207
Price Details
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What Stands Out
產品詳情
| Publisher | Independently published |
| Publication date | 15 Oct. 2019 |
| Language | English |
| Print length | 186 pages |
| ISBN-10 | 1686658494 |
| ISBN-13 | 978-1686658495 |
| Item weight | 1.05 kg |
| Dimensions | 15.24 x 1.19 x 22.86 cm |
| Book 2 of 3 | Learn Machine Learning for Beginners |
Who Should Buy?
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Beginners in ML
Ideal for individuals new to machine learning concepts and Python programming looking to build foundational knowledge.
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Self-learners
Great for self-motivated learners who prefer a practical approach with hands-on examples and exercises.
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Students
Perfect for students in data science or computer science programs needing supplemental material for coursework.
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Advanced Users
Not suitable for experienced machine learning practitioners seeking in-depth or advanced algorithmic discussions and applications.
產品敘述
Machine Learning with Python: A Practical Beginners’ Guide: 2 (Learn Machine Learning for Beginners)
客戶問題與解答
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題:
Is this book suitable for complete beginners?
回答: No, it's designed for those with basic knowledge of machine learning. -
題:
What programming language is used in this book?
回答: The book uses Python for coding machine learning models. -
題:
Will I learn about data visualization in this book?
回答: Yes, the book includes techniques for visualizing datasets effectively.
Statistics & Research Editorial Review
Customer Reviews & Ratings
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1 星
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MOP 207
現在訂購,約可在下列時間收貨: 星期四, 十月 08
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特色和優勢
- Practical guide for beginners to learn machine learning with Python.
- Includes step-by-step instructions for coding various prediction models.
- Focus on popular algorithms such as logistic regression and decision trees.
- Utilizes popular Python libraries: Pandas, Scikit-learn, Matplotlib, and Seaborn.
- Offers hands-on projects for applying learned skills.
- Perfect for those with basic knowledge looking to enhance their skill set.
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