Classifying iris species using logistic regression

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, whose species are known, so that we can predict the species for a new iris flower.