Data science bookcamp: five real-world Python projects
Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp you will learn: - Techniques for computing and plotting prob...
Gespeichert in:
Beteilige Person: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Shelter Island, NY
Manning Publications Co.
[2021]
|
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781617296253/?ar |
Zusammenfassung: | Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp you will learn: - Techniques for computing and plotting probabilities - Statistical analysis using Scipy - How to organize datasets with clustering algorithms - How to visualize complex multi-variable datasets - How to train a decision tree machine learning algorithm In Data Science Bookcamp you'll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you've learned, building your confidence and making you ready for an exciting new data science career. |
Beschreibung: | Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on May 19, 2022) |
Umfang: | 1 Online-Ressource |
ISBN: | 9781617296253 1617296252 9781638352303 1638352305 |
Internformat
MARC
LEADER | 00000cam a22000002 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-071016368 | ||
003 | DE-627-1 | ||
005 | 20240228121543.0 | ||
007 | cr uuu---uuuuu | ||
008 | 211206s2021 xx |||||o 00| ||eng c | ||
020 | |a 9781617296253 |c electronic bk. |9 978-1-61729-625-3 | ||
020 | |a 1617296252 |c electronic bk. |9 1-61729-625-2 | ||
020 | |a 9781638352303 |c ebook |9 978-1-63835-230-3 | ||
020 | |a 1638352305 |c ebook |9 1-63835-230-5 | ||
020 | |a 9781617296253 |9 978-1-61729-625-3 | ||
035 | |a (DE-627-1)071016368 | ||
035 | |a (DE-599)KEP071016368 | ||
035 | |a (ORHE)9781617296253 | ||
035 | |a (DE-627-1)071016368 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
082 | 0 | |a 005.13/3 |2 23 | |
082 | 0 | |a 006.312 |2 23 | |
100 | 1 | |a Apeltsin, Leonard |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a Data science bookcamp |b five real-world Python projects |c Leonard Apelstin |
264 | 1 | |a Shelter Island, NY |b Manning Publications Co. |c [2021] | |
300 | |a 1 Online-Ressource | ||
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on May 19, 2022) | ||
520 | |a Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp you will learn: - Techniques for computing and plotting probabilities - Statistical analysis using Scipy - How to organize datasets with clustering algorithms - How to visualize complex multi-variable datasets - How to train a decision tree machine learning algorithm In Data Science Bookcamp you'll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you've learned, building your confidence and making you ready for an exciting new data science career. | ||
650 | 0 | |a Data mining | |
650 | 0 | |a Data sets | |
650 | 0 | |a Python (Computer program language) | |
650 | 4 | |a Python (Langage de programmation) | |
650 | 4 | |a Exploration de données (Informatique) | |
650 | 4 | |a Jeux de données | |
650 | 4 | |a Data sets | |
650 | 4 | |a Data mining | |
650 | 4 | |a Python (Computer program language) | |
776 | 1 | |z 9781617296253 | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781617296253 |
966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781617296253/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
912 | |a ZDB-30-ORH | ||
951 | |a BO | ||
912 | |a ZDB-30-ORH | ||
049 | |a DE-91 |
Datensatz im Suchindex
DE-BY-TUM_katkey | ZDB-30-ORH-071016368 |
---|---|
_version_ | 1821494827289673728 |
adam_text | |
any_adam_object | |
author | Apeltsin, Leonard |
author_facet | Apeltsin, Leonard |
author_role | aut |
author_sort | Apeltsin, Leonard |
author_variant | l a la |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)071016368 (DE-599)KEP071016368 (ORHE)9781617296253 |
dewey-full | 005.13/3 006.312 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 005 - Computer programming, programs, data, security 006 - Special computer methods |
dewey-raw | 005.13/3 006.312 |
dewey-search | 005.13/3 006.312 |
dewey-sort | 15.13 13 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02754cam a22005292 4500</leader><controlfield tag="001">ZDB-30-ORH-071016368</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121543.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">211206s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781617296253</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-61729-625-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1617296252</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-61729-625-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781638352303</subfield><subfield code="c">ebook</subfield><subfield code="9">978-1-63835-230-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1638352305</subfield><subfield code="c">ebook</subfield><subfield code="9">1-63835-230-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781617296253</subfield><subfield code="9">978-1-61729-625-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)071016368</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP071016368</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781617296253</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)071016368</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.13/3</subfield><subfield code="2">23</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.312</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Apeltsin, Leonard</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Data science bookcamp</subfield><subfield code="b">five real-world Python projects</subfield><subfield code="c">Leonard Apelstin</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Shelter Island, NY</subfield><subfield code="b">Manning Publications Co.</subfield><subfield code="c">[2021]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</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">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on May 19, 2022)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp you will learn: - Techniques for computing and plotting probabilities - Statistical analysis using Scipy - How to organize datasets with clustering algorithms - How to visualize complex multi-variable datasets - How to train a decision tree machine learning algorithm In Data Science Bookcamp you'll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you've learned, building your confidence and making you ready for an exciting new data science career.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data sets</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exploration de données (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Jeux de données</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data sets</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9781617296253</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781617296253</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781617296253/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
id | ZDB-30-ORH-071016368 |
illustrated | Not Illustrated |
indexdate | 2025-01-17T11:20:34Z |
institution | BVB |
isbn | 9781617296253 1617296252 9781638352303 1638352305 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource |
psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Manning Publications Co. |
record_format | marc |
spelling | Apeltsin, Leonard VerfasserIn aut Data science bookcamp five real-world Python projects Leonard Apelstin Shelter Island, NY Manning Publications Co. [2021] 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on May 19, 2022) Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp you will learn: - Techniques for computing and plotting probabilities - Statistical analysis using Scipy - How to organize datasets with clustering algorithms - How to visualize complex multi-variable datasets - How to train a decision tree machine learning algorithm In Data Science Bookcamp you'll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you've learned, building your confidence and making you ready for an exciting new data science career. Data mining Data sets Python (Computer program language) Python (Langage de programmation) Exploration de données (Informatique) Jeux de données 9781617296253 Erscheint auch als Druck-Ausgabe 9781617296253 |
spellingShingle | Apeltsin, Leonard Data science bookcamp five real-world Python projects Data mining Data sets Python (Computer program language) Python (Langage de programmation) Exploration de données (Informatique) Jeux de données |
title | Data science bookcamp five real-world Python projects |
title_auth | Data science bookcamp five real-world Python projects |
title_exact_search | Data science bookcamp five real-world Python projects |
title_full | Data science bookcamp five real-world Python projects Leonard Apelstin |
title_fullStr | Data science bookcamp five real-world Python projects Leonard Apelstin |
title_full_unstemmed | Data science bookcamp five real-world Python projects Leonard Apelstin |
title_short | Data science bookcamp |
title_sort | data science bookcamp five real world python projects |
title_sub | five real-world Python projects |
topic | Data mining Data sets Python (Computer program language) Python (Langage de programmation) Exploration de données (Informatique) Jeux de données |
topic_facet | Data mining Data sets Python (Computer program language) Python (Langage de programmation) Exploration de données (Informatique) Jeux de données |
work_keys_str_mv | AT apeltsinleonard datasciencebookcampfiverealworldpythonprojects |