| 000 | 01109nam a2200181 4500 | ||
|---|---|---|---|
| 003 | NUST | ||
| 005 | 20220309151510.0 | ||
| 008 | 220309b ||||| |||| 00| 0 eng d | ||
| 020 | _a978-0429446610 | ||
| 022 | _2978-0429446610 | ||
| 038 | _aSAIF | ||
| 082 |
_a006.312 _bEPT |
||
| 245 |
_aAdvanced Data Science and Analytics with Python _b1st Edition _cJesus Rogel-Salazar |
||
| 260 |
_aCRC Press _bLondon _c2020 |
||
| 500 | _aAdvanced-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 | ||
| 563 | _aH.B | ||
| 942 |
_2ddc _cBK |
||
| 999 |
_c588702 _d588702 |
||