The MLCodeExamples Code Repository contains python and r code used to demonstrate machine learning examples.

1. The nbmodel directory contains code snippets to create a Gaussian Naive Bayes Classifier from the scikit-learn python framework, the classifier is trained with a training dataset, the classifier is then used to perform classification and predict class outcomes on a test dataset. The classification is performed on the iris dataset which contains 4 features viz.

   • Sepal Length
   • Sepal Width
   • Petal lentgh
   • Petal Width

   The class outcome can be one of the possible 3 outcomes which is setosa,versicolor and virginica. Each class refers to a type of iris plant. For more information on the code please refer to the readme.md in the nbmodel directory.