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Human_Activity_Recognition_Using_smartphone

Using Boosting algorithm

The dataset is one of the UCI datasets. I am going to solve Human Activity Recognition based on the sensory data. The task is to predict six activities (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING) based on signals extracted by wearing a smartphone on the waist. The dataset is a combination of several signals extracted from an accelerometer and gyroscope when with different human activities. The goal of this question is to create a model (you are free to use any machine learning model) to be able to predict the human activity based on the input signals.

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Using Boosting algorithm

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