Applied supervised learning with Python : : use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning / / Benjamin Johnston and Ishita Mathur.
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| VerfasserIn: | |
|---|---|
| TeilnehmendeR: | |
| Place / Publishing House: | Birmingham : : Packt Publishing Ltd,, 2019. |
| Year of Publication: | 2019 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (iv, 382 pages) |
| Notes: | Includes index. |
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| 001 | 5005763194 | ||
| 003 | MiAaPQ | ||
| 005 | 20200520144314.0 | ||
| 006 | m o d | | ||
| 007 | cr cnu|||||||| | ||
| 008 | 190521s2019 enk o 001 0 eng d | ||
| 020 | |z 9781789954920 | ||
| 020 | |a 9781789955835 |q (e-book) | ||
| 035 | |a (MiAaPQ)5005763194 | ||
| 035 | |a (Au-PeEL)EBL5763194 | ||
| 035 | |a (OCoLC)1101039206 | ||
| 040 | |a MiAaPQ |b eng |e rda |e pn |c MiAaPQ |d MiAaPQ | ||
| 050 | 4 | |a QA76.73.P98 |b J64 2019 | |
| 082 | 0 | |a 005.13/3 |2 23 | |
| 100 | 1 | |a Johnston, Benjamin, |e author. | |
| 245 | 1 | 0 | |a Applied supervised learning with Python : |b use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning / |c Benjamin Johnston and Ishita Mathur. |
| 264 | 1 | |a Birmingham : |b Packt Publishing Ltd, |c 2019. | |
| 300 | |a 1 online resource (iv, 382 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 588 | |a Description based on online resource; title from PDF title page (Ebook Central, viewed February 11, 2022). | ||
| 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) | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Mathur, Ishita, |e author. | |
| 797 | 2 | |a ProQuest (Firm) | |
| 856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5763194 |z Click to View |