real-world examples can machine distinguish between flower species based on imagesfrom machine learning perspectivewe approach this problem by having the machine learn how to perform this task based on examples of each species so that it can classify images where the species are not marked this process is called classification (or supervised learning)and is classic problem that goes back few decades we will explore small datasets using few simple algorithms that we can implement manually the goal is to be able to understand the basic principles of classification this will be solid foundation to understanding later as we introduce more complex methods that willby necessityrely on code written by others the iris dataset the iris dataset is classic dataset from the sit is one of the first modern examples of statistical classification the setting is that of iris flowersof which there are multiple species that can be identified by their morphology todaythe species would be defined by their genomic signaturesbut in the sdna had not even been identified as the carrier of genetic information the following four attributes of each plant were measuredsepal length sepal width petal length petal width