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Marketing data science: modeling techniques in predictive analytics with R and Python

Detalles Bibliográficos
Autor principal: Miller, Thomas W
Lenguaje:eng
Publicado: Pearson Education 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2022121
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author Miller, Thomas W
author_facet Miller, Thomas W
author_sort Miller, Thomas W
collection CERN
id cern-2022121
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher Pearson Education
record_format invenio
spelling cern-20221212021-04-21T20:15:06Zhttp://cds.cern.ch/record/2022121engMiller, Thomas WMarketing data science: modeling techniques in predictive analytics with R and PythonComputing and ComputersPearson Educationoai:cds.cern.ch:20221212015
spellingShingle Computing and Computers
Miller, Thomas W
Marketing data science: modeling techniques in predictive analytics with R and Python
title Marketing data science: modeling techniques in predictive analytics with R and Python
title_full Marketing data science: modeling techniques in predictive analytics with R and Python
title_fullStr Marketing data science: modeling techniques in predictive analytics with R and Python
title_full_unstemmed Marketing data science: modeling techniques in predictive analytics with R and Python
title_short Marketing data science: modeling techniques in predictive analytics with R and Python
title_sort marketing data science: modeling techniques in predictive analytics with r and python
topic Computing and Computers
url http://cds.cern.ch/record/2022121
work_keys_str_mv AT millerthomasw marketingdatasciencemodelingtechniquesinpredictiveanalyticswithrandpython