| 000 | 01928nam a2200445 i 4500 | ||
|---|---|---|---|
| 001 | EBC4520788 | ||
| 003 | MiAaPQ | ||
| 005 | 20240121084354.0 | ||
| 006 | m o d | | ||
| 007 | cr cnu|||||||| | ||
| 008 | 160707s2016 enka o 001 0 eng|d | ||
| 020 | _z9781783983261 | ||
| 020 | _a9781783983278 (e-book) | ||
| 035 | _a(MiAaPQ)EBC4520788 | ||
| 035 | _a(Au-PeEL)EBL4520788 | ||
| 035 | _a(CaPaEBR)ebr11221848 | ||
| 035 | _a(CaONFJC)MIL902724 | ||
| 035 | _a(OCoLC)951974836 | ||
| 040 |
_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ |
||
| 050 | 4 |
_aQA279.4 _b.K86 2016 |
|
| 100 | 1 |
_aKumar, Ashish, _eauthor. |
|
| 245 | 1 | 0 |
_aLearning predictive analytics with Python : _bgain practical insights into predictive modelling by implementing predictive analytics algorithms on public datasets with Python / _cAshish Kumar ; [foreword by Pradeep Gulipalli, co-founder and head of India operations - Tiger Analytics]. |
| 264 | 1 |
_aBirmingham : _bPackt Publishing, _c2016. |
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| 300 |
_a1 online resource (354 pages) : _billustrations (some color) |
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| 336 |
_atext _2rdacontent |
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| 337 |
_acomputer _2rdamedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 | _aCommunity experience distilled | |
| 500 | _aIncludes index. | ||
| 588 | _aDescription based on online resource; title from PDF title page (ebrary, viewed July 7, 2016). | ||
| 590 | _aElectronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
| 650 | 0 | _aPython (Computer program language) | |
| 650 | 0 | _aR (Computer program language) | |
| 650 | 0 |
_aDecision making _xStatistical methods. |
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| 650 | 0 |
_aForecasting _xMathematical models. |
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| 655 | 4 | _aElectronic books. | |
| 797 | 2 | _aProQuest (Firm) | |
| 830 | 0 | _aCommunity experience distilled. | |
| 856 | 4 | 0 |
_uhttps://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=4520788 _zClick to View |
| 999 |
_c256271 _d256271 |
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