Machine Learning in Python : essential techniques for predictive analysis / Michael Bowles.
Tipo de material:![Texto](/opac-tmpl/lib/famfamfam/BK.png)
Contenidos:
The two essential algorithms for making predictions -- Understand the problem by understanding the data -- Predictive model building : balancing performance, complexity, and big data -- Penalized linear regression -- Building predictive models using penalized linear methods -- Ensemble methods -- Building ensemble models with Python.
Tipo de ítem | Biblioteca actual | Colección | número de clasificación | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras |
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Biblioteca Campus San Joaquín | Colección Material de Proyecto | 006.31 B787 (Navegar estantería(Abre debajo)) | 1 | Prestado | PROY. PI_L_18_23 - CSCS - PROF. MAXIMILIANO RIVERA | 01/01/2050 | 3560902038669 |
The two essential algorithms for making predictions -- Understand the problem by understanding the data -- Predictive model building : balancing performance, complexity, and big data -- Penalized linear regression -- Building predictive models using penalized linear methods -- Ensemble methods -- Building ensemble models with Python.