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Beginning data analysis with Python and Jupyter: use powerful industry-standard tools to unlock new, actionable insight from your existing data
Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skil...
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Lenguaje: | eng |
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Packt Publishing
2018
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Acceso en línea: | http://cds.cern.ch/record/2631217 |
_version_ | 1780959506778292224 |
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author | Galea, Alex |
author_facet | Galea, Alex |
author_sort | Galea, Alex |
collection | CERN |
description | Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. |
id | cern-2631217 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
publisher | Packt Publishing |
record_format | invenio |
spelling | cern-26312172021-04-21T18:45:09Zhttp://cds.cern.ch/record/2631217engGalea, AlexBeginning data analysis with Python and Jupyter: use powerful industry-standard tools to unlock new, actionable insight from your existing dataComputing and ComputersGet to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world.Packt Publishingoai:cds.cern.ch:26312172018 |
spellingShingle | Computing and Computers Galea, Alex Beginning data analysis with Python and Jupyter: use powerful industry-standard tools to unlock new, actionable insight from your existing data |
title | Beginning data analysis with Python and Jupyter: use powerful industry-standard tools to unlock new, actionable insight from your existing data |
title_full | Beginning data analysis with Python and Jupyter: use powerful industry-standard tools to unlock new, actionable insight from your existing data |
title_fullStr | Beginning data analysis with Python and Jupyter: use powerful industry-standard tools to unlock new, actionable insight from your existing data |
title_full_unstemmed | Beginning data analysis with Python and Jupyter: use powerful industry-standard tools to unlock new, actionable insight from your existing data |
title_short | Beginning data analysis with Python and Jupyter: use powerful industry-standard tools to unlock new, actionable insight from your existing data |
title_sort | beginning data analysis with python and jupyter: use powerful industry-standard tools to unlock new, actionable insight from your existing data |
topic | Computing and Computers |
url | http://cds.cern.ch/record/2631217 |
work_keys_str_mv | AT galeaalex beginningdataanalysiswithpythonandjupyterusepowerfulindustrystandardtoolstounlocknewactionableinsightfromyourexistingdata |