Finding the best ML model for analyzing sensor data is not easy. What pre-processing steps yield the best results? What signal processing parameters should you pick? This is even more true when the resulting model needs to run on a microcontroller where you have latency, memory and power constraints. AutoML tools can help, but typically only look at the neural networks - disregarding the big role pre-processing and signal processing play for TinyML. In this hands-on session we'll look at the EON Tuner, a new tool available to all Edge Impulse developers, and how to use it to pick the best model within the constraints of your device.