In this project I train two different machine learning models, a XGBoost Classifier and a Multilayer Perceptron Classifier, to distinguish between the two transportation modes walking and dricing (a car).
- Install Jupyter Notebook (https://jupyter.org/install.html)
- Download the GoLife Dataset 1.3 (https://www.microsoft.com/en-us/download/details.aspx?id=52367)
- Extract its data into the folder
./geolife-data/
on the main folder of this project. The 'Data' folder needs to be in./geolife-data/Data/
. - Create the empty folder
./geolife-data/Prepared/
- Run the notebook
data-preparation.ipynb
- Run the notebook
feature-extraction and preprocessing.ipynb
- Run the training notebooks
XGBoost-training.ipynb
orMLPClassifier-training.ipynb