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Data Mining with Python Chapman & HallCRC The Python Series 1st Edition
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Data Mining with Python focuses on the hands-on approach to learning Data Mining.
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Produktdetaljer
| Publisher | Chapman and Hall/CRC |
| Publication date | April 10, 2024 |
| Edition | 1st |
| Language | English |
| Print length | 414 pages |
| ISBN-10 | 1032598905 |
| ISBN-13 | 978-1032598901 |
| Item Weight | 1.69 pounds (770 grams) |
| Dimensions | 7.01 x 0.94 x 10 inches (17.8 x 2.4 x 25.4 cm) |
Hvem bør købe?
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Beginner Data Scientists
Ideal for those starting their journey in data mining, providing foundational concepts and practical examples using Python.
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Academic Researchers
Useful for researchers needing a comprehensive resource to implement data mining techniques in their studies and projects.
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Python Developers
Beneficial to developers looking to integrate data mining functionalities into applications using Python libraries and tools.
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Advanced Practitioners
May lack depth for experienced data miners seeking advanced techniques or complex algorithmic discussions beyond an introductory level.
PRODUKTBESKRIVELSE
Data Mining with Python Chapman & HallCRC The Python Series 1st Edition
Kundespørgsmal & svar
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spørgsmål:
Who is this book intended for?
svar: It's designed for students, data scientists, and business analysts. -
spørgsmål:
What is the main focus of the book?
svar: It focuses on a hands-on approach to learning Data Mining using Python. -
spørgsmål:
What can readers expect from the tutorials in this book?
svar: Readers can run, modify, and use interactive tutorials for a comprehensive learning experience.
Data Mining Editorial Review
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Egenskaber og fordele
- Tailored for students, data scientists, and business analysts.
- Emphasizes a hands-on approach with interactive tutorials.
- Covers the entire Data Mining pipeline step by step.
- Explains topics with theoretical background, application orientation, and case studies.
- Equips readers with practical skills for real-world Data Mining.
- Utilizes Python Packages to facilitate the Data Mining process.
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