This Jupyter Notebook looks at the now famous Iris flower dataset from British statistician Ronald Fisher. The project uses machine learning to predict the type of Iris flower. The Iris dataset contains three different species of Iris. The goal is to classify an unknown Iris flower according to its characteristic features such as the length and the width of the flowers sepals and petals.
This Jupyter Notebook also resides on my GitHub - it can be viewed from here