Extreme Gradient Boosting (XGBoost) classifier was trained in this project after feature extraction with principal component analysis (PCA) in order to classify human activities. UCI Human Activity Recognition Using Smartphones Data Set was employed for training and 99.66% accuracy were obtained.
For more information, check doc folder.