SciKit Learn - Machine Learning in Python http://scikit-learn.org/
Very useful Open source
Scikit-learn requires:
Python (>= 2.6 or >= 3.3),
NumPy (>= 1.6.1),
SciPy (>= 0.9).
Latest SciKit Learn Installation instructions can be found here
Installing SciKit Learn using Miniconda
Installing Scikit Learn in the Easiest Way Without Hassels via Miniconda (Click here).
Training Data
SciKit Learn comes with pre-loaded data sets
Iris flower recognition data set
Iris is a 150 sample labeled dataset for supervised learning.
3 types of Iris (Setosa, virginica or versicolor) and a set of features (sepal length, sepel width, petal length and petal width)
To use the Iris dataset in Python:
from sklearn import datasets, metrics
iris = datasets.load_iris()