StudentLife-DataMining

###Colllection of scripts to mine information from StudentLife Dataset

The collected Data is inserted into a PostgreSQL database schema into many different tables.

ensembleLOSO.py Trains a stacked ensemble mix of Regression and Classification while Cross-Validating with Leave One (Student) Out
ensembleUserSpecific Trains the same stacked architecture, only this time the model is personalized
processingFunctions.py provides many usefull functions to construct features
sleepNNreg.py trains a model to predict length of sleep time

all the rest scripts are used to insert/drop tables in DB

requirements

run pip install -r requirements.txt inside a Virtual Environment to install all requirements

Name		Name	Last commit message	Last commit date
Latest commit History 189 Commits
activelearning		activelearning
ensemble		ensemble
numdata		numdata
visualizations		visualizations
CSVtoDB.py		CSVtoDB.py
README.md		README.md
constructTrainData.py		constructTrainData.py
databaseSetup.py		databaseSetup.py
optimization.py		optimization.py
pipeTrain.py		pipeTrain.py
postgreSetup.py		postgreSetup.py
processingFunctions.py		processingFunctions.py
requirements.txt		requirements.txt
screenLockDB.py		screenLockDB.py
sleepNNreg.py		sleepNNreg.py
stressLabelDB.py		stressLabelDB.py
training.py		training.py
visleep.py		visleep.py