Finding a Model for Categorical Data | Machine Learning Made Easy

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

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

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