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Data Science and Analytics with Python

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  • 412 pages
  • 15 hours of reading

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Targeting practitioners in data science and analytics, this book introduces key concepts in data analytics through practical applications using Python tools like SciKit Learn, Pandas, and Numpy. It serves as a resource for both academic and business contexts, emphasizing hands-on learning to enhance understanding of data analysis techniques.

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Data Science and Analytics with Python, Jesus Rogel-Salazar

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2017
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