Use the sensor data of mobile phone to classfy the people action.
BANK_1.ipynb only splited data. then put the data into CNN model.
baseline_cnn_kfold.ipynb :
PipeLine: DATA AGGREGATE, FEATURES ENGINEERRING, SPLIT DATA, create CNN model, Train, validate and predict.
ALL used kfold(StratifiedKFold).
Enviroment: macOS Catalina 10.15.4, python 3.7, sklearn, Tensorflow 2.0