Wearables Machine Learning Practical

This is a tutorial series for machine learning in wearables. In this tutorial series, we will walk through the whole life-cycle of a real-world machine learning project which consists of data collection, annotation, processing and model construction. Even though these tutorials focus mainly on wearable devices, the development pipeline we will work through can also be applied to other applications.

Note: if you find any issues with the practicals, please report them here. This is greatly apprecaited.

Practical

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