Activity recognizer using data mining and machine learning algorithms
due to high dimension. The dataset used was A_DeviceMotion_data, found on kaggle. Honor 20 readings are readings extracted on a test phone by myself. processed_datasets are the ones used in the notebooks, to speed up the computation instead of obtaining them from the raw datasets above. (Only the last one can be downloaded in order to make the project work.) They can be downloaded here: A_DeviceMotion_data https://www.dropbox.com/scl/fo/lfb2h6byp5bp4kkk26alj/h?dl=0&rlkey=e5tubbia90lfdl824tdrfh3kh Honor20Readings_complete https://www.dropbox.com/scl/fo/0adxhv3oqs3qp7c7i43rd/h?dl=0&rlkey=nwcjg6j9j6h94310sfrqdxx35 processed_datasets https://www.dropbox.com/scl/fo/7dt6k9rvnvnj45yxm9our/h?dl=0&rlkey=5nkxa0i9n2dmzkdb30n09w4y2 PLACE THEM INSIDE pardini_demarco_DMML_project.