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TinyML: MAchine Learning for embedded systems (esp32_ML)

Author: Moises Meza Rodriguez year: july 2021

This repository contains examples of how we can implement machine learning algorithms using python-sklearn, and then how to pass them to a microcontroller. These examples are following in series of videos attached: https://www.youtube.com/watch?v=TRQMKp7B0MU&ab_channel=moisesstevendmezarodriguez

Edge computing: It includes python code. mpu9250_dtree_porter1 and mpu9250_ml1: arduino code and implementing sklearn porter.

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