Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/pavankumarshridhar31/regression-analysis-of-automotive-co2-emissions
https://github.com/pavankumarshridhar31/regression-analysis-of-automotive-co2-emissions
Last synced: about 1 month ago
JSON representation
- Host: GitHub
- URL: https://github.com/pavankumarshridhar31/regression-analysis-of-automotive-co2-emissions
- Owner: Pavankumarshridhar31
- Created: 2024-11-21T03:56:39.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-11-21T04:05:29.000Z (about 1 month ago)
- Last Synced: 2024-11-21T05:18:04.340Z (about 1 month ago)
- Language: Jupyter Notebook
- Size: 1.34 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
This project focuses on predicting CO2 emissions based on various vehicle specifications, such as engine size, fuel type, and fuel consumption. By leveraging machine learning techniques, we aim to understand the relationship between these factors and their impact on the environment. The model uses regression analysis to predict the carbon emissions of different vehicles, providing insights that could help in making more eco-friendly vehicle choices.
Model Evaluation:
Mean Squared Error (MSE): 29.99
R² Score: 0.99
Root Mean Squared Error (RMSE): 5.4![image](https://github.com/user-attachments/assets/5eb9bd3f-1118-4a57-adee-5dfb9881e7f1)
![image](https://github.com/user-attachments/assets/4da76fc1-1f29-4b13-958f-31239ec264fe)
![image](https://github.com/user-attachments/assets/a18d524f-317d-4d5b-8b89-f083a582c4df)