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Making predictions with data and Python /
"Python has become one of any data scientist's favorite tools for doing Predictive Analytics. In this hands-on course, you will learn how to build predictive models with Python. During the course, we will talk about the most important theoretical concepts that are essential when building p...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Packt Publishing,
[2017]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 035 | |a (OCoLC)1004966426 | ||
| 037 | |a CL0500000895 |b Safari Books Online | ||
| 050 | 4 | |a QA76.9.D343 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Fuentes, Alvaro, |e speaker. | |
| 245 | 1 | 0 | |a Making predictions with data and Python / |c Alvaro Fuentes. |
| 264 | 1 | |a [Place of publication not identified] : |b Packt Publishing, |c [2017] | |
| 300 | |a 1 online resource (1 streaming video file (4 hr., 10 min., 53 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
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| 337 | |a video |b v |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 511 | 0 | |a Presenter, Alvaro Fuentes. | |
| 500 | |a Title from title screen (viewed September 26, 2017). | ||
| 500 | |a Date of publication from resource description page. | ||
| 520 | |a "Python has become one of any data scientist's favorite tools for doing Predictive Analytics. In this hands-on course, you will learn how to build predictive models with Python. During the course, we will talk about the most important theoretical concepts that are essential when building predictive models for real-world problems. The main tool used in this course is scikit -learn, which is recognized as a great tool: it has a great variety of models, many useful routines, and a consistent interface that makes it easy to use. All the topics are taught using practical examples and throughout the course, we build many models using real-world datasets. By the end of this course, you will learn the various techniques in making predictions about bankruptcy and identifying spam text messages and then use our knowledge to create a credit card using a linear model for classification along with logistic regression."--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Quantitative research. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Recherche quantitative. | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 650 | 7 | |a Quantitative research. |2 fast |0 (OCoLC)fst01742283 | |
| 655 | 4 | |a Electronic videos. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781788297448/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||