Advanced Data Science and Analytics with Python (Chapman...

Advanced Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Rogel-Salazar, Jesus
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Advanced Data Science and Analytics with Python

enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this book are complementary and a follow-up to the topics discussed in Data Science and Analytics with Python. The aim is to cover important advanced areas in data science using tools developed in Python such as SciKit-learn, Pandas, Numpy, Beautiful Soup, NLTK, NetworkX and others. The model development is supported by the use of frameworks such as Keras, TensorFlow and Core ML, as well as Swift for the development of iOS and MacOS applications.

Año:
2020
Edición:
1
Editorial:
Chapman and Hall/CRC
Idioma:
english
Páginas:
384
ISBN 10:
0429446616
ISBN 13:
9780429446610
Archivo:
PDF, 15.38 MB
IPFS:
CID , CID Blake2b
english, 2020
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