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MATLAB | Finding a Model for Categorical Data | Machine Learning Made Easy @MATLAB | Uploaded September 2024 | Updated October 2024, 1 week ago.
In this example, use supervised learning to find a classification model for fitness tracker data.

Using the Classification Learner app and functions in Statistics and Machine Learning Toolbox™, perform common machine learning tasks such as:
- Selecting and transforming features
- Specifying cross-validation schemes
- Training a range of classification models, including support vector machines (SVMs), boosted and bagged decision trees, k-nearest neighbors, and discriminant analysis
- Performing model assessment and model comparisons using confusion matrices and ROC curves to help choose the best model for your data

Check out our Machine Learning Made Easy Playlist: youtube.com/playlist?list=PLn8PRpmsu08pBihb7VFpRCDXd-g5JB-BR

Learn more:
- Human Activity Recognition Simulink Model for Smartphone Deployment Demo: bit.ly/46mZWkR
- Machine Learning with MATLAB: bit.ly/2O9Sujp

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Finding a Model for Categorical Data | Machine Learning Made Easy @MATLAB

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