| 000 | 01606cam a2200289zu 4500 | ||
|---|---|---|---|
| 001 | 88852944 | ||
| 003 | FRCYB88852944 | ||
| 005 | 20250107224933.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250107s2015 fr | o|||||0|0|||eng d | ||
| 020 | _a9781785280429 | ||
| 035 | _aFRCYB88852944 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
||
| 100 | 1 | _aBoschetti, Alberto | |
| 245 | 0 | 1 |
_aPython Data Science Essentials _c['Boschetti, Alberto', 'Massaron, Luca'] |
| 264 | 1 |
_bPackt Publishing _c2015 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
||
| 337 |
_bc _2rdamdedia |
||
| 338 |
_bc _2rdacarrier |
||
| 650 | 0 | _a | |
| 700 | 0 | _aBoschetti, Alberto | |
| 700 | 0 | _aMassaron, Luca | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88852944 _qtext/html _a |
| 520 | _aThe book starts by introducing you to setting up your essential data science toolbox. Then it will guide you across all the data munging and preprocessing phases. This will be done in a manner that explains all the core data science activities related to loading data, transforming and fixing it for analysis, as well as exploring and processing it. Finally, it will complete the overview by presenting you with the main machine learning algorithms, the graph analysis technicalities, and all the visualization instruments that can make your life easier in presenting your results.In this walkthrough, structured as a data science project, you will always be accompanied by clear code and simplified examples to help you understand the underlying mechanics and real-world datasets. | ||
| 999 |
_c69220 _d69220 |
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