In this first tutorial from the series Arduino Machine learning we're going to implement the "Hello world" of Machine learning projects: classifying the Iris dataset on an Arduino board. The Iris dataset is a well known one in the Machine learning world and is often used in introductory tutorials about classification.
In this tutorial we're going to run the classification directly on a Arduino Nano board (old generation), equipped with 32 kb of flash and only 2 kb of RAM: that's the only thing you will need!

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