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Lesson 3: Feature-Based Classification


This Notebook introduces a feature-based (or model-based) supervised learning approach to gesture recognition and provides the scaffolding for the A4 assignment.

You can view the Notebook in html here but we also strongly recommend working with our Notebooks locally by performing a git clone on https://github.com/makeabilitylab/signals.git and running the Jupyter Notebook on your system (see installation notes).

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In the next lesson, you’ll learn how to use Scikit-learn for automatic feature selection and hyperparameter tuning.

Previous: Shape-Based Step Tracker Next: Feature Selection and Hyperparameter Tuning