Trained Random Forest Classifier and Random Forest Regressor models on user activity dataset and indoor localisation dataset.
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Given a user_id, we predict the user's location i.e. floor, building, latitude and longitude from the wifi RF signals.
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We also classify the activity the user is performing based on the smart phone sensor data.
Running Source Code Files: See the 'src' folder.