| 000 | 01013nam a22001817a 4500 | ||
|---|---|---|---|
| 999 |
_c21468 _d21468 |
||
| 005 | 20220615174506.0 | ||
| 008 | 220615b ||||| |||| 00| 0 eng d | ||
| 020 | _a9781284180909 (pbk) | ||
| 040 | _cUE-CL | ||
| 082 |
_a006.312 _bJ249 |
||
| 100 | _aJamsa, Kris | ||
| 245 |
_aIntroduction to data mining and analytics with machine learning in R and Python _c/ Kris Jamsa |
||
| 260 |
_aUSA : _bJones & Bartlett Learning, _c2021 |
||
| 300 | _a668 p. | ||
| 650 | _aComputer--Data mining--Web usage mining--Machine learning--Python | ||
| 942 | _cBK | ||
| 505 | 0 | _a1. Data mining and analytics 2. Machine learning 3. Database and data warehouse 4. Data visualization 5. Keep excel I your toolset 6. Keep SQL in your toolset 7. noSQL data analysis 8. Programming data mining and analytic solutions 9. Data processing and cleansing 10. Data clustering 11. Predictive analytics 12. Mining text and images 13. Big data mining 14. Planning and launching a data mining and data analytics project | |