Companion code for blog post Intro to Predictive Maintenance on NASA Turbofan Engine Dataset using Machine Learning.
In your venv:
pip install xgboost
pip install scikit-learn
pip install (other dependencies e.g. numpy, pandas, matplotlib)
After downloading and opening the
.ipynb file, ensure you modify the
pd.read_csv() function so it points towards the location where you have stored the downloaded data.
NASA turbofan simulation data was used to develop the model. The data was collected by sensors in an effort to characterise fault evolution.