Performing a simple exercise to train and test your machine on IRIS dataset.

Python Scikit-learn has a number of datasets to work on real-world problems. We can download different datasets from UCI and Kaggle

IRIS dataset is one of the simplest dataset to start with. It comprises of 3 categories of flowers: Setosa, Versicolor and Virginica

This contains 4 features sepal lengh, sepal width, petal length and petal width. On the basis of these features we have to identify the category of the flower

This is a Supervised learning/Classification Task