| 000 | 01834nam a22004093i 4500 | ||
|---|---|---|---|
| 001 | EBC7115167 | ||
| 003 | MiAaPQ | ||
| 005 | 20240529113452.0 | ||
| 006 | m o d | | ||
| 007 | cr cnu|||||||| | ||
| 008 | 231011s2015 nju o 000 0 eng d | ||
| 020 |
_a9780133887341 _q(electronic bk.) |
||
| 020 | _z9780133886559 | ||
| 035 | _a(MiAaPQ)EBC7115167 | ||
| 035 | _a(Au-PeEL)EBL7115167 | ||
| 035 | _a(OCoLC)1348487999 | ||
| 040 |
_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ |
||
| 082 | 0 | 4 |
_a658.8 _223 |
| 100 | 1 |
_aMiller, Thomas W., _eauthor. |
|
| 245 | 1 | 0 |
_aMarketing data science : _bmodeling techniques in predictive analytics with R and Python / _cThomas W. Miller. |
| 246 | 3 | _aModeling techniques in predictive analytics with R and Python | |
| 264 | 1 |
_aOld Tappan, New Jersey : _bPearson Education, _c[2015] |
|
| 300 | _a1 online resource (568 pages) | ||
| 336 |
_atext _2rdacontent |
||
| 337 |
_acomputer _2rdamedia |
||
| 338 |
_aonline resource _2rdacarrier |
||
| 490 | 1 | _aFT Press Analytics Series | |
| 588 | _aDescription based on publisher supplied metadata and other sources. | ||
| 590 | _aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. | ||
| 650 | 0 |
_aMarketing _xData processing. |
|
| 650 | 0 | _aR (Computer program language) | |
| 650 | 0 | _aPython (Computer program language) | |
| 650 | 0 | _aData mining. | |
| 655 | 4 | _aElectronic books. | |
| 776 | 0 | 8 |
_iPrint version: _aMiller, Thomas _tMarketing Data Science _dHoboken : Pearson Education, Limited,c2015 _z9780133886559 |
| 856 | 4 | 0 |
_uhttps://ezproxy.taylors.edu.my/login?url=https://ebookcentral.proquest.com/lib/taylors/detail.action?docID=7115167 _zAn electronic book accessible through the World Wide Web; click to view |
| 999 |
_c190540 _d190540 |
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