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Data Science Essentials in Python

Data Science Essentials in Python

Dmitry Zinoviev
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Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis at work. This one-stop solution covers the essential data science you need in Python.

類別:
年:
2016
版本:
1
出版商:
Pragmatic Bookshelf
語言:
english
頁數:
224
ISBN 10:
1680501844
ISBN 13:
9781680501841
文件:
EPUB, 1.81 MB
IPFS:
CID , CID Blake2b
english, 2016
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