Regression analysis with Python : learn the art of regression analysis with Python
(eBook)
Author
Contributors
Boschetti, Alberto, author.
Published
Birmingham : Packt Publishing, 2016.
Physical Desc
1 online resource (312 pages) : illustrations (some color)
Status
More Details
Format
eBook
Language
English
ISBN
9781783980741 (e-book)
Notes
General Note
Includes index.
Local note
Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
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Citations
APA Citation, 7th Edition (style guide)
Massaron, L., & Boschetti, A. (2016). Regression analysis with Python: learn the art of regression analysis with Python . Packt Publishing.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Massaron, Luca and Alberto, Boschetti. 2016. Regression Analysis With Python: Learn the Art of Regression Analysis With Python. Packt Publishing.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Massaron, Luca and Alberto, Boschetti. Regression Analysis With Python: Learn the Art of Regression Analysis With Python Packt Publishing, 2016.
MLA Citation, 9th Edition (style guide)Massaron, Luca,, and Alberto Boschetti. Regression Analysis With Python: Learn the Art of Regression Analysis With Python Packt Publishing, 2016.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
cac2a4e3-e30b-58f4-6e2f-60f40b3ca05f-eng
Grouping Information
| Grouped Work ID | cac2a4e3-e30b-58f4-6e2f-60f40b3ca05f-eng |
|---|---|
| Full title | regression analysis with python learn the art of regression analysis with python |
| Author | massaron luca |
| Grouping Category | book |
| Last Update | 2022-06-07 21:23:19PM |
| Last Indexed | 2024-06-08 05:13:11AM |
Book Cover Information
| Image Source | syndetics |
|---|---|
| First Loaded | Aug 2, 2022 |
| Last Used | May 21, 2024 |
Marc Record
| First Detected | Jan 04, 2022 10:57:21 AM |
|---|---|
| Last File Modification Time | Jan 04, 2022 10:57:21 AM |
MARC Record
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|---|---|---|---|
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| 003 | MiAaPQ | ||
| 005 | 20200520144314.0 | ||
| 006 | m o d | | ||
| 007 | cr cnu|||||||| | ||
| 008 | 160711s2016 enka o 001 0 eng|d | ||
| 020 | |z 9781785286315 | ||
| 020 | |a 9781783980741 (e-book) | ||
| 035 | |a (MiAaPQ)EBC4520826 | ||
| 035 | |a (Au-PeEL)EBL4520826 | ||
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| 040 | |a MiAaPQ|b eng|c MiAaPQ|d MiAaPQ|e rda|e pn | ||
| 050 | 4 | |a QA278.2|b .M37 2016 | |
| 100 | 1 | |a Massaron, Luca,|e author. | |
| 245 | 1 | 0 | |a Regression analysis with Python :|b learn the art of regression analysis with Python /|c Luca Massaron, Alberto Boschetti. |
| 264 | 1 | |a Birmingham :|b Packt Publishing,|c 2016. | |
| 300 | |a 1 online resource (312 pages) :|b illustrations (some color) | ||
| 336 | |a text|2 rdacontent | ||
| 337 | |a computer|2 rdamedia | ||
| 338 | |a online resource|2 rdacarrier | ||
| 490 | 1 | |a Community experience distilled | |
| 500 | |a Includes index. | ||
| 588 | |a Description based on online resource; title from PDF title page (ebrary, viewed July 11, 2016). | ||
| 590 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Regression analysis. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Boschetti, Alberto,|e author. | |
| 797 | 2 | |a ProQuest (Firm) | |
| 830 | 0 | |a Community experience distilled. | |
| 856 | 4 | 0 | |u http://ebookcentral.proquest.com/lib/yavapai-ebooks/detail.action?docID=4520826|x Yavapai College|y Yavapai College users click here |
| 856 | 4 | 0 | |u http://ebookcentral.proquest.com/lib/prescottcollege-ebooks/detail.action?docID=4520826|x Prescott College|y Prescott College users click here |
| 856 | 4 | 0 | |u http://ebookcentral.proquest.com/lib/yln-ebooks/detail.action?docID=4520826|x Yavapai Library Network|y All other users click here |
