greenBene / ba-ml-model

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).

Transportation Mode Classificatin for Bachelor thesis

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).

Setup

0. Install Jupyter Notebook (https://jupyter.org/install.html)
1. Download the GoLife Dataset 1.3 (https://www.microsoft.com/en-us/download/details.aspx?id=52367)
2. 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/.
3. Create the empty folder ./geolife-data/Prepared/

Run

1. Run the notebook data-preparation.ipynb
2. Run the notebook feature-extraction and preprocessing.ipynb
3. Run the training notebooks XGBoost-training.ipynb or MLPClassifier-training.ipynb