000 | 02763nam a22003257a 4500 | ||
---|---|---|---|
005 | 20240513225957.0 | ||
008 | 230808b2021 uk ||||| |||| 00| | eng d | ||
020 | _a9781801071970 | ||
041 | _aeng | ||
082 |
_a005.7 _bGEO |
||
100 | _aGeorge, Nathan | ||
245 |
_aPractical Data Science with Python : _bLearn tools and techniques from hands-on examples to extract insights from data / _cNathan George |
||
250 | _a1st editon | ||
260 |
_aBỉmingham : _bPackt, _c2021 |
||
300 |
_axxiii, 595 p. ; _c28 cm. |
||
520 | _aPractical Data Science with Python teaches you core data science concepts, with real-world and realistic examples, and strengthens your grip on the basic as well as advanced principles of data preparation and storage, statistics, probability theory, machine learning, and Python programming, helping you build a solid foundation to gain proficiency in data science. The book starts with an overview of basic Python skills and then introduces foundational data science techniques, followed by a thorough explanation of the Python code needed to execute the techniques. You'll understand the code by working through the examples. The code has been broken down into small chunks (a few lines or a function at a time) to enable thorough discussion. As you progress, you will learn how to perform data analysis while exploring the functionalities of key data science Python packages, including pandas, SciPy, and scikit-learn. Finally, the book covers ethics and privacy concerns in data science and suggests resources for improving data science skills, as well as ways to stay up to date on new data science developments. By the end of the book, you should be able to comfortably use Python for basic data science projects and should have the skills to execute the data science process on any data source. | ||
650 | _aDatabase management | ||
650 | _aBig data | ||
650 | _aPython (Computer program language) | ||
653 | _aQuản trị dữ liệu | ||
653 | _aDữ liệu lớn | ||
653 | _aLập trình Python | ||
856 | _uhttps://bookworm.vnu.edu.vn/EDetail.aspx?id=171758 | ||
911 | _aYến | ||
919 |
_aChương trình AC _bGiáo trình chương trình AC _dNhập môn Khoa học dữ liệu _dIntroduction to Data Science _cINS3254 |
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919 |
_aChương trình FDB _bGiáo trình chương trình FDB _dNhập môn Khoa học dữ liệu _dIntroduction to Data Science _cINS3050 |
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919 |
_a3Chương trình MIS _bGiáo trình chương trình MIS _cINS3254 _dNhập môn Khoa học dữ liệu _dIntroduction to Data Science |
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919 |
_a20 Chương trình Help _bGiáo trình chương trình Help _cINS3254 _dNhập môn khoa học dữ liệu _dIntroductio to data science |
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942 |
_2ddc _cTB |
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999 |
_c10115 _d10115 |