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Focusing on practical applications, this book serves data science and analytics practitioners in academic and business settings. It introduces key concepts in data analytics while leveraging popular Python tools like SciKit Learn, Pandas, and Numpy. By emphasizing hands-on techniques, readers can effectively enhance their skills and understanding of data-driven decision-making.
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Data Science and Analytics with Python, Jesus Rogel-Salazar
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- Année de publication
- 2017
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