Hands-On Python Deep Learning for the Web

A problem statement for our TF.js mini-project

The problem we will look at here is probably one of the most famous challenges you will come across when starting your journey in machine learning—classifying and predicting the type of an Iris flower by learning its features from the Iris flower dataset. Training, as well as the prediction, will be performed in the browser itself.

We have defined the problem statement for our project. What will follow is the data preparation step. The data is already available to us, so we don't need to collect it ourselves. But, before we prepare the data, it would be good to know a bit more about the data itself.