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Modeling Techniques in Predictive Analytics with Python and R : A Guide to Data Science / Thomas W. Miller
Material type:
TextLanguage: English Publication details: Upper-Saddle River, New Jersey : Pearson Education , Inc. , [2015]Description: xviii , 418 Pages : illustrations ; 25 cmContent type: - text
- unmediated
- volume
- 9780133892062
- 0133892069
- QA279.4 .M55 2015
| Item type | Current library | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|
Books
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Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي | QA279.4 .M55 2015 (Browse shelf(Opens below)) | C. 1 | Available | 10010119 |
Browsing Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي shelves Close shelf browser (Hides shelf browser)
| QA279 .M66 2013 Design and Analysis of Experiments / | QA279 .R45 2005 Statistical Design of Experiments With Engineering Applications / | QA279 .T36 2009 Statistical Analysis Of Designed Experiments : Theory And Applications / | QA279.4 .M55 2015 Modeling Techniques in Predictive Analytics with Python and R : A Guide to Data Science / | QA279.5 .B53 2015 Spatial and Spatio-temporal Bayesian Models with R - INLA / | QA279.5 .B53 2015 Spatial and Spatio-temporal Bayesian Models with R - INLA / | QA279.5 .B53 2015 Spatial and Spatio-temporal Bayesian Models with R - INLA / |
Includes bibliographical references (pages 379-412) and index
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