Machine learning with scikit-learn quick start guide : : classification, regression, and clustering techniques in Python /

Machine learning with scikit-learn quick start guide : : classification, regression, and clustering techniques in Python / / Kevin Jolly.

Saved in:
Bibliographic Details
VerfasserIn:
Jolly, Kevin,
Place / Publishing House:Birmingham ;, Mumbai : : Packt,, 2018.
Year of Publication:2018
Language:English
Online Access:
Physical Description:1 online resource (153 pages)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 5005597867
ctrlnum (MiAaPQ)5005597867
(Au-PeEL)EBL5597867
(CaPaEBR)ebr11637249
(OCoLC)1076229257
collection bib_alma
record_format marc
spelling Jolly, Kevin, author.
Machine learning with scikit-learn quick start guide : classification, regression, and clustering techniques in Python / Kevin Jolly.
Birmingham ; Mumbai : Packt, 2018.
1 online resource (153 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Description based on print version record.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Python (Computer program language)
Machine learning.
Electronic books.
Print version: Jolly, Kevin. Machine learning with scikit-learn quick start guide : classification, regression, and clustering techniques in Python. Birmingham ; Mumbai : Packt, 2018 153 pages 9781789343700
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5597867 Click to View
language English
format eBook
author Jolly, Kevin,
spellingShingle Jolly, Kevin,
Machine learning with scikit-learn quick start guide : classification, regression, and clustering techniques in Python /
author_facet Jolly, Kevin,
author_variant k j kj
author_role VerfasserIn
author_sort Jolly, Kevin,
title Machine learning with scikit-learn quick start guide : classification, regression, and clustering techniques in Python /
title_sub classification, regression, and clustering techniques in Python /
title_full Machine learning with scikit-learn quick start guide : classification, regression, and clustering techniques in Python / Kevin Jolly.
title_fullStr Machine learning with scikit-learn quick start guide : classification, regression, and clustering techniques in Python / Kevin Jolly.
title_full_unstemmed Machine learning with scikit-learn quick start guide : classification, regression, and clustering techniques in Python / Kevin Jolly.
title_auth Machine learning with scikit-learn quick start guide : classification, regression, and clustering techniques in Python /
title_new Machine learning with scikit-learn quick start guide :
title_sort machine learning with scikit-learn quick start guide : classification, regression, and clustering techniques in python /
publisher Packt,
publishDate 2018
physical 1 online resource (153 pages)
isbn 9781789347371 (e-book)
9781789343700
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA76
callnumber-sort QA 276.73 P98 J655 42018
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5597867
illustrated Not Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 005 - Computer programming, programs & data
dewey-full 005.133
dewey-sort 15.133
dewey-raw 005.133
dewey-search 005.133
oclc_num 1076229257
work_keys_str_mv AT jollykevin machinelearningwithscikitlearnquickstartguideclassificationregressionandclusteringtechniquesinpython
status_str n
ids_txt_mv (MiAaPQ)5005597867
(Au-PeEL)EBL5597867
(CaPaEBR)ebr11637249
(OCoLC)1076229257
carrierType_str_mv cr
is_hierarchy_title Machine learning with scikit-learn quick start guide : classification, regression, and clustering techniques in Python /
_version_ 1792330995956973568
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01658nam a2200385 i 4500</leader><controlfield tag="001">5005597867</controlfield><controlfield tag="003">MiAaPQ</controlfield><controlfield tag="005">20200520144314.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">190107s2018 enk o 000 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781789343700</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781789347371 (e-book)</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)5005597867</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL5597867</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaPaEBR)ebr11637249</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1076229257</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.73.P98</subfield><subfield code="b">.J655 2018</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.133</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Jolly, Kevin,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning with scikit-learn quick start guide :</subfield><subfield code="b">classification, regression, and clustering techniques in Python /</subfield><subfield code="c">Kevin Jolly.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham ;</subfield><subfield code="a">Mumbai :</subfield><subfield code="b">Packt,</subfield><subfield code="c">2018.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (153 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on print version record.</subfield></datafield><datafield tag="590" ind1=" " ind2=" "><subfield code="a">Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning.</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Jolly, Kevin.</subfield><subfield code="t">Machine learning with scikit-learn quick start guide : classification, regression, and clustering techniques in Python.</subfield><subfield code="d">Birmingham ; Mumbai : Packt, 2018 </subfield><subfield code="h">153 pages </subfield><subfield code="z">9781789343700</subfield></datafield><datafield tag="797" ind1="2" ind2=" "><subfield code="a">ProQuest (Firm)</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5597867</subfield><subfield code="z">Click to View</subfield></datafield></record></collection>

Similar Items