Advanced Data Science and Analytics with Python 1st Edition Jesus Rogel-Salazar
Material type:
TextPublisher: CRC Press London 2020ISBN: 978-0429446610DDC classification: 006.312
| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Book
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School of Civil and Environmental Engineering (SCEE) | School of Civil and Environmental Engineering (SCEE) | 006.312 SAL (Browse shelf) | Checked out | 05/26/2025 | NIT-13555 |
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
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