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.