| 000 | 01139cam a22002298i 4500 | ||
|---|---|---|---|
| 020 | _a9781032007885 | ||
| 020 | _a9781032187662 | ||
| 082 | 0 | 0 |
_a658.05 _223/eng/20211104 _bCHA |
| 084 | _2Colon Classification | ||
| 100 | 1 | _aChaudhary, Kiran, | |
| 245 | 1 | 0 |
_aBig data analytics : _bapplications in business and marketing / _cKiran Chaudhary and Mansaf Alam. |
| 250 | _aFirst edition. | ||
| 260 |
_aLONDON: _bCRC PRESS, _c2022. |
||
| 300 | _axiii, 261p. | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _a"Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis"-- | ||
| 650 | 0 | _aBusiness | |
| 650 | 0 | _aMarketing | |
| 650 | 0 | _aBig data. | |
| 700 | 1 | _aAlam, Mansaf, | |
| 942 | _cBK | ||
| 999 |
_c692156 _d692156 |
||