Skip to content

Tutorial de Machine Learning para iniciantes em portugues, usando o Scikit Learn

Notifications You must be signed in to change notification settings

gtteixeira/sklearn_tutorial_portugues

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 

Repository files navigation

sklearn_tutorial_portugues

Tutorial para iniciantes em portugues, usando a biblioteca Scikit Learn.

O objetivo deste tutorial é introduzir as principais funcionalidades da biblioteca Scikit Learn, em python.

Este tutorial requer os seguintes pacotes:

Python versão 3.3+. numpy versão 1.5+: http://www.numpy.org/. scipy versão 0.10+: http://www.scipy.org/. matplotlib versão 1.3+: http://matplotlib.org/. scikit-learn versão 0.14+: http://scikit-learn.org.

Dataset utilizado. Fonte:

https://archive.ics.uci.edu/ml/machine-learning-databases/concrete/compressive/

Concrete Compressive Strength Data Type: multivariate

Abstract: Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients. These ingredients include cement, blast furnace slag, fly ash, water, superplasticizer, coarse aggregate, and fine aggregate.

Sources: Original Owner and Donor Prof. I-Cheng Yeh Department of Information Management Chung-Hua University, Hsin Chu, Taiwan 30067, R.O.C. e-mail:[email protected]

About

Tutorial de Machine Learning para iniciantes em portugues, usando o Scikit Learn

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages