Another famous dataset in the world of machine learning is called the Iris dataset. The Iris dataset contains measurements of 150 iris flowers from three different species: setosa, versicolor, and viriginica. These measurements include the length and width of the petals, and the length and width of the sepals, all measured in centimeters:
An iris flower
Our goal is to build a machine learning model that can learn the measurements of these iris flowers, whose species are known, so that we can predict the species for a new iris flower.