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.

Our goal is to build a machine learning model that can learn the measurements of these iris flowers, the species of which are known, so that we can predict the species for a new iris flower.