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#Machine Learning com Scikit Learn.

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:icyeh@chu.edu.tw