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169811293
Data Mining with Python (Chapman & Hall/CRC The Python Series)
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Item #:
169811293
NOK 769
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Data Mining with Python focuses on the hands-on approach to learning Data Mining.
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What Stands Out
Comprehensive Coverage
This book provides a thorough exploration of data mining techniques, tools, and Python libraries, ensuring readers gain a deep understanding of both fundamental concepts and practical applications.
Hands-On Approach
Includes numerous real-world examples and exercises that allow readers to apply concepts directly, enhancing learning and retention while developing actionable skills in data analysis and interpretation.
Expert Insights
Authored by industry professionals, the book offers insights and best practices from seasoned data miners, ensuring readers are equipped with up-to-date knowledge and techniques relevant to current market needs.
Product Details
| 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 | 1.65 pounds (750 grams) |
| Dimensions | 7.01 x 0.94 x 10 inches (17.8 x 2.4 x 25.4 cm) |
Who Should Buy?
-
Beginner Data Scientists
Ideal for those starting their journey in data mining, providing foundational concepts and practical examples using Python.
-
Academic Researchers
Useful for researchers needing a comprehensive resource to implement data mining techniques in their studies and projects.
-
Python Developers
Beneficial to developers looking to integrate data mining functionalities into applications using Python libraries and tools.
-
Advanced Practitioners
May lack depth for experienced data miners seeking advanced techniques or complex algorithmic discussions beyond an introductory level.
Product Description
Data Mining with Python (Chapman & Hall/CRC The Python Series)
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Features & Benefits
- 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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