scania-trucks

Here are 3 public repositories matching this topic...

jvirico / scania-truck-failure-prediction

Data Mining and Machine Learning APS Failure at Scania Trucks Data Set.

machine-learning data-mining random-forest scikit-learn jupyter-notebook hyperparameter-optimization outliers confusion-matrix support-vector-machines upsampling bagging iqr gridsearch scania-trucks interquartile-ranges aps-failure

Updated Mar 22, 2021
Jupyter Notebook

Shravan4598 / Sensor-Fault-Detection

Star

Sensor-Fault-Detection is an end-to-end Machine Learning (ML) project that detects sensor/component faults related to a truck’s Air Pressure System (APS) using historical sensor readings.

python docker workflow machine-learning mongodb random-forest numpy scikit-learn pandas seaborn xgboost classification matplotlib catboost fastapi scania-trucks end-to-end-ml-pipeline end-to-end-ml-projects aps-truck

Updated Jul 9, 2026
Python

AkhilPenta / APS-component-failure-classification

Star

This is an end to end case study on APS component failure classification in Scania Trucks

python machine-learning sklearn ipynb imputation missing-data case-study imputation-methods scania-trucks

Updated Oct 6, 2020
Jupyter Notebook

Improve this page

Add a description, image, and links to the scania-trucks topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the scania-trucks topic, visit your repo's landing page and select "manage topics."

Learn more