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Python for Data Science and Machine Learning: Essential Tools for Working with Data
IDR 336881
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Python for Data Science and Machine Learning is the ultimate guide to mastering the essential tools needed for a career in data science and machine learning.
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What Stands Out
Rincian Produk
| Publisher | Independently published |
| Publication date | March 26, 2023 |
| Language | English |
| Print length | 189 pages |
| ISBN-13 | 979-8388654380 |
| Item Weight | 9.3 ounces (263.66 grams) |
| Dimensions | 6 x 0.43 x 9 inches (15.2 x 1.1 x 22.9 cm) |
Who Should Buy?
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Aspiring Data Scientists
Ideal for those seeking foundational knowledge in data science and machine learning using Python effectively.
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Beginner Programmers
Great for individuals with basic programming skills wanting to expand into data analytics and machine learning.
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Professionals Upskilling
Perfect for professionals looking to enhance their skills in data science and enter the machine learning field.
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Advanced Users
Not suitable for experienced data scientists as it may lack depth in advanced algorithms and techniques.
DESKRIPSI PRODUK
Python for Data Science and Machine Learning: Essential Tools for Working with Data
Pertanyaan & Jawaban Pelanggan
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pertanyaan:
Is this book suitable for beginners?
menjawab: Yes, it is perfect for beginners and experienced programmers alike. -
pertanyaan:
What topics does the book cover?
menjawab: It covers data cleaning, visualization, analysis, and machine learning algorithms. -
pertanyaan:
How can this book help my career in data science?
menjawab: It provides the essential tools and techniques needed to build a solid foundation in data science.
Data Processing Editorial Review
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IDR 336881
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Fitur & Manfaat
- Comprehensive introduction to data science and machine learning tools.
- Includes data cleaning, visualization, analysis, and machine learning algorithms.
- Hands-on examples for practical learning.
- Suitable for both beginners and experienced programmers.
- Perfect resource to kickstart or expand your career in data science.
- Start your journey toward becoming a data science expert today!
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