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Data Curation and Feature Scaling

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Run Time: 19 Minutes

In this IoT Central MicroSession with Edge Impulse, learn how to perform feature normalization and standardization prior to uploading data to Edge Impulse. This process involves calculating the mean and standard deviation of each channel and standardizing the data along a single axis to have a mean of 0 and a standard deviation of 1. The means and standard deviations will need to be recorded for inference during deployment. We use Google Colab to perform this analysis and transformation prior to uploading the data to Edge Impulse.

Instructor: Shawn Hymel Senior Developer Relations Engineer, Edge Impulse

Optional Hardware: None

Preparation: Free sign-up at https://studio.edgeimpulse.com/signup

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